Smart Musical Instruments: Vision, Design Principles, and Future Directions
Open accessAbstract
Smart musical instruments (SMIs) are a family of Internet of Musical Things devices for music creation. They are characterized by sensors, actuators, embedded intelligence, and wireless connectivity to local networks and to the Internet. In this paper, we depict a vision for this recent research area, which merges the research fields on digital musical instruments and smart objects, and fosters new types of interactions between the player and the instrument, between the player and other players, and between the player and audience members. We propose a set of capabilities and technical features characterizing SMIs, as well as a design for a technological architecture supporting them. To illustrate possible applications enabled by this vision, we present a set of scenarios exploiting the intelligence embedded in SMIs. We also propose a set of guidelines that can help digital luthiers in the process of designing SMIs. Finally, we present a set of directions for future research.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The main current obstacle to the creation of SMIs is the lack of hardware and software tools able to guarantee low-latency in conjunction with all activities related to knowledge management, reasoning, and learning.
“It is argued that the main current obstacle to the creation of SMIs is the lack of hardware and software tools able to guarantee low-latency in conjunction with all activities related to knowledge management, reasoning, and learning”
From Hands-Free Accessible Digital Musical Instruments: Conceptual Framework, Challenges, and Perspectives (2020) · cites this paper as [146]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126 · see citing works
Human-level control through deep reinforcement learning
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al. (2015) · Nature · doi:10.1038/nature14236 · Cited by 30,357 · cited 1× · see citing works
“For this purpose, one could employ deep reinforcement-learning techniques [75], where a musician can interactively update a model based on his/her personal behavior.”
BackgroundBerners‐Lee, T., Hendler, J., & Lassila, O. (2001) · Scientific American · doi:10.1038/scientificamerican0501-34 · Cited by 9,362 · see citing works
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733 · cited 2× · see citing works
“paradigm [63], [93], [96] considering IoMusT ecosystems.”
BackgroundA Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607 · cited 2× · see citing works
“paradigm [63], [93], [96] considering IoMusT ecosystems.”
BackgroundDesign Principles for Industrie 4.0 Scenarios
Hermann, M., Pentek, T., & Otto, B. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.488 · Cited by 2,978 · cited 1× · see citing works
“Design principles and considerations developed by the IoT research community include proposals for the characteristics and capabilities of the smart objects composing the IoT [18], [19], [50], on the services they can support [4], or on processes for industries [37].”
BackgroundThe emergence of edge computing
Satyanarayanan, M. (2017) · Computer · doi:10.1109/mc.2017.9 · Cited by 2,832 · cited 2× · see citing works
“paradigm [63], [93], [96] considering IoMusT ecosystems.”
BackgroundThe Internet of Things vision: Key features, applications and open issues
Borgia, E. (2014) · Computer Communications · doi:10.1016/j.comcom.2014.09.008 · Cited by 1,496 · cited 23× · see citing works
“This means that the interactions that the musicians has with the instrument, or with the connected Musical Things through it, have to be predictable according to the expected behavior which was previously predefined.”
BackgroundInfluentialSmart objects as building blocks for the Internet of things
Kortuem, G., Kawsar, F., Sundramoorthy, V., & Fitton, D. (2009) · IEEE Internet Computing · doi:10.1109/mic.2009.143 · Cited by 1,477 · cited 4× · see citing works
“Personalization has been advocated as a fundamental design component for IoT devices [50], [73], and this is no less true for SMIs.”
BackgroundResultInfluentialFundamentals of Wireless Sensor Networks
Dargie, W., & Poellabauer, C. (2010) · Wiley eBooks · doi:10.1002/9780470666388 · Cited by 747 · cited 1× · see citing works
“, wireless sensor networks [23]), networked music performance systems [92], sensors and actuator augmentations typical of augmented instruments [72], and embedded intelligence tailored to support real-time audio and sensor processing.”
BackgroundJordà, S., Geiger, G., Alonso, M., & Kaltenbrunner, M. (2007) · International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · doi:10.1145/1226969.1226998 · Cited by 624 · cited 2× · see citing works
“One of the most noticeable examples of such DMIs is the ReacTable [48], [126].”
BackgroundProblems and Prospects for Intimate Musical Control of Computers
WESSEL, D. L., & Wright, M. (2002) · Computer Music Journal · doi:10.1162/014892602320582945 · Cited by 387 · cited 2× · see citing works
“The real-time operating system must ensure a round-trip latency of less than 10 ms to achieve credible musical interactions [66], [123] (i.”
BackgroundMillimeter Wave Cellular Networks: A MAC Layer Perspective
Shokri‐Ghadikolaei, H., Fischione, C., Fodor, G., Popovski, P., & Zorzi, M. (2015) · IEEE Transactions on Communications · doi:10.1109/tcomm.2015.2456093 · Cited by 385 · cited 2× · see citing works
“Therefore, Millimeter Waves represent a promising technology for enhancing musical instruments with ultra-low latency and highlyreliable wireless communication capabilities.”
Background(2006) · Cited by 361 · see citing works
Automatic music transcription: challenges and future directions
Benetos, E., Dixon, S., Giannoulis, D. A., Kirchhoff, H., & Klapuri, A. P. (2013) · Journal of Intelligent Information Systems · doi:10.1007/s10844-013-0258-3 · Cited by 310 · cited 1× · see citing works
“More often such methods are applied offline, especially by analyzing large datasets of audio files [5], while some authors have used real-time feature extraction for performance purposes [15], [43], [45], [74], especially employing machine learning techniques [29], [91].”
MethodRealizing the Tactile Internet: Haptic Communications over Next Generation 5G Cellular Networks
Aijaz, A., Döhler, M., Aghvami, A. H., Friderikos, V., & Frodigh, M. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.1500157rp · Cited by 305 · cited 1× · see citing works
“This challenge falls in the agenda of the Tactile Internet community [1], [61].”
BackgroundAutobiographical design in HCI research
Neustaedter, C., & Sengers, P. (2012) · Designing Interactive Systems Conference · doi:10.1145/2317956.2318034 · Cited by 302 · cited 1× · see citing works
“This situation, which is rooted in the tenets of the autobiographical design [80], is the reason for which Jordá uses the term ‘‘digital luthier’’ for thosewho not only build but also perform with their instruments [47].”
MethodRaimond, Y., Abdallah, S., Sandler, M. B., & Giasson, F. (2007) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1415965 · Cited by 280 · see citing works
The Importance of Parameter Mapping in Electronic Instrument Design
Hunt, A., Wanderley, M. M., & Paradis, M. (2003) · Journal of New Music Research · doi:10.1076/jnmr.32.4.429.18853 · Cited by 274 · see citing works
The tactile internet: vision, recent progress, and open challenges
Maier, M., Chowdhury, M., Rimal, B. P., & Van, D. P. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470948 · Cited by 265 · cited 5× · see citing works
“This challenge falls in the agenda of the Tactile Internet community [1], [61].”
BackgroundInfluentialEvaluation of Input Devices for Musical Expression: Borrowing Tools from HCI
Wanderley, M. M., & Orio, N. (2002) · Computer Music Journal · doi:10.1162/014892602320582981 · Cited by 244 · see citing works
Internet of Musical Things: Vision and Challenges
Turchet, L., Fischione, C., Essl, G., Keller, D., & Barthet, M. (2018) · IEEE Access · doi:10.1109/access.2018.2872625 · Cited by 244 · cited 4× · see citing works
“Some of these open challenges are common to those of the general field of IoMusT (the reader is referred to [112] and [113] for a discussion on this topic).”
BackgroundInfluentialSelf-citationFrom the Internet of Things to the Internet of People
Miranda, J., Mäkitalo, N., García-Alonso, J. M., Berrocal, J., Mikkonen, T., Canal, C., & Murillo, J. M. (2015) · IEEE Internet Computing · doi:10.1109/mic.2015.24 · Cited by 234 · cited 2× · see citing works
“Personalization has been advocated as a fundamental design component for IoT devices [50], [73], and this is no less true for SMIs.”
BackgroundOpen Sound Control: an enabling technology for musical networking
WRIGHT, M. (2005) · Organised Sound · doi:10.1017/s1355771805000932 · Cited by 227 · cited 8× · see citing works
“For instance, new protocols for the exchange of musical messages are needed to cope with the limitations of existing widely adopted protocols and standards (such as MIDI and OSC).”
MethodInfluential2001: Principles for Designing Computer Music Controllers
Cook, P. R. (2017) · Current research in systematic musicology · doi:10.1007/978-3-319-47214-0_1 · Cited by 225 · see citing works
An Overview on Networked Music Performance Technologies
Rottondi, C., Chafe, C. H., Allocchio, C., & Sarti, A. (2016) · IEEE Access · doi:10.1109/access.2016.2628440 · Cited by 203 · cited 3× · see citing works
“, wireless sensor networks [23]), networked music performance systems [92], sensors and actuator augmentations typical of augmented instruments [72], and embedded intelligence tailored to support real-time audio and sensor processing.”
BackgroundDisplaced Soundscapes: A Survey of Network Systems for Music and Sonic Art Creation
Barbosa, Á. M. (2003) · Leonardo Music Journal · doi:10.1162/096112104322750791 · Cited by 173 · cited 1× · see citing works
“Other authors have explored forms of collaborative music making resulting from the interconnection of DMIs through local or remote networks [3], [122], by leveraging the so-called networked music performance (NMP) systems (see [92] and [32] for recent reviews).”
BackgroundVirtual Reality Musical Instruments: State of the Art, Design Principles, and Future Directions
Serafin, S., Erkut, C., Kojs, J., Nilsson, N. C., & Nordahl, R. (2016) · Computer Music Journal · doi:10.1162/comj_a_00372 · Cited by 139 · see citing works
Interconnected Musical Networks: Toward a Theoretical Framework
Weinberg, G. (2005) · Computer Music Journal · doi:10.1162/0148926054094350 · Cited by 135 · cited 1× · see citing works
“Other authors have explored forms of collaborative music making resulting from the interconnection of DMIs through local or remote networks [3], [122], by leveraging the so-called networked music performance (NMP) systems (see [92] and [32] for recent reviews).”
BackgroundA Framework for the Evaluation of Digital Musical Instruments
O'Modhrain, S. (2011) · Computer Music Journal · doi:10.1162/comj_a_00038 · Cited by 130 · cited 1× · see citing works
“New DMIs may succeed where they contribute to expanding the creative possibilities of the player [77], [82].”
BackgroundToward efficient smartification of the Internet of Things (IoT) services
Bello, O., & Zeadally, S. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.09.083 · Cited by 125 · see citing works
Designing constraints: composing and performing with digital musical systems
Magnusson, T. (2010) · Computer Music Journal · doi:10.1162/comj_a_00026 · Cited by 123 · cited 2× · see citing works
“For instance, while HCI often targets the improvement of human performance with interactive technologies, measured in terms of efficiency and accuracy, NIME focuses on concepts such as creativity [60], expressivity [24], engagement [16], constraints [58], appropriation [127], and”
BackgroundA review about Smart Objects, Sensors, and Actuators
García, C. G., Meana-Llorián, D., G‐Bustelo, B. C. P., & Lovelle, J. M. C. (2016) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2017.431 · Cited by 117 · cited 1× · see citing works
“SMIs lie at the intersection between DMIs and smart objects [33], [50], as they encompass capabilities and features of both of them.”
BackgroundAuditory Feedback and Musical Keyboard Performance
Finney, S. A. (1997) · Music Perception An Interdisciplinary Journal · doi:10.2307/40285747 · Cited by 110 · cited 1× · see citing works
“This amount is an accepted target for latency in real-time interactive audio systems [30], [31], [123].”
BackgroundHyperinstruments: Musically Intelligent and Interactive Performance and Creativity Systems.
Machover, T., & Chung, J. T. (1989) · University of Michigan Library Repository · Cited by 104 · see citing works
Slaney, M. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2002.5745561 · Cited by 100 · cited 1× · see citing works
“Another set of authors have investigated computational methods for the extraction of information from the sound of musical instruments, within the fields of music information retrieval (MIR) [17] and semantic audio [99].”
BackgroundMusical Performance Practice on Sensor-based Instruments
Tanaka, A. (2000) · Cited by 99 · see citing works
Adaptive digital audio effects (a-DAFx): a new class of sound transformations
Verfaille, V., Zölzer, U., & Arfib, D. (2006) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tsa.2005.858531 · Cited by 94 · cited 1× · see citing works
“, sensor fusion, real-time music information retrieval, control of the sound engine from the sensors according to defined mapping strategies, adaptive digital audio effects [119]), as well as other types of computations performed on the internal memory (e.”
MethodInstruments and players: Some thoughts on digital lutherie
Jordà, S. (2004) · Journal of New Music Research · doi:10.1080/0929821042000317886 · Cited by 81 · cited 4× · see citing works
“Sensor-based augmentations consist of enhancing the instrument with an interface composed of sensors dedicated to the tracking of performer’s gestures, which are repurposed into electronically generated sounds via mapping techniques [41], [47], [57].”
BackgroundMethodInfluentialBryan–Kinns, N., & Hamilton, F. (2009) · Behaviour and Information Technology · doi:10.1080/01449290903377103 · Cited by 79 · cited 1× · see citing works
“For instance, while HCI often targets the improvement of human performance with interactive technologies, measured in terms of efficiency and accuracy, NIME focuses on concepts such as creativity [60], expressivity [24], engagement [16], constraints [58], appropriation [127], and”
BackgroundAn Environment for Submillisecond-Latency Audio and Sensor Processing on BeagleBone Black
McPherson, A., & Zappi, V. (2015) · Journal of the Audio Engineering Society · Cited by 76 · see citing works
The Augmented Violin Project: Research, Composition And Performance Report
Bevilacqua, F. P., Rasamimanana, N. H., Fléty, E., Lemouton, S., & Baschet, F. (2006) · doi:10.5281/zenodo.1176870 · Cited by 76 · see citing works
The Machine Learning Algorithm as Creative Musical Tool
Fiebrink, R., & Caramiaux, B. (2016) · arXiv · doi:10.48550/arxiv.1611.00379 · Cited by 69 · cited 2× · see citing works
“, by means of hard real-time onset detectors [104]) and exploit sensor fusion and machine learning methods [29].”
MethodMusic and Human-Computer Interaction
Holland, S., Wilkie, K., Mulholland, P., & Seago, A. (2013) · Springer series on cultural computing · doi:10.1007/978-1-4471-2990-5 · Cited by 66 · see citing works
Design aspects of short-range millimeter-wave networks: A MAC layer perspective
Shokri‐Ghadikolaei, H., Fischione, C., Popovski, P., & Zorzi, M. (2016) · IEEE Network · doi:10.1109/mnet.2016.7474349 · Cited by 61 · cited 1× · see citing works
“One of the emerging technologies for ultra-low latency and highly reliable wireless communication is Millimeter Waves [97], [98].”
BackgroundOpen Symphony: Creative Participation for Audiences of Live Music Performances
Wu, Y., Zhang, L., Bryan–Kinns, N., & Barthet, M. (2017) · IEEE Multimedia · doi:10.1109/mmul.2017.19 · Cited by 60 · cited 1× · see citing works
“Some of these systems have been developed for technology-mediated audience participation (TMAP) purposes [39], where the audience of live music performances takes part to the creative process and interacts with the performers [20], [27], [89], [125].”
BackgroundXambó, A., Hornecker, E., Marshall, P., Jordà, S., Dobbyn, C., & Laney, R. (2013) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2530541 · Cited by 59 · cited 3× · see citing works
“Following these considerations, hereinafter we propose design principles that are specific to SMIs and that aim to complement other design guidelines presented by various authors in the NIME community [21], [22], [76], [77], [95], [126].”
BackgroundMethodThe Magnetic Resonator Piano: Electronic Augmentation of an Acoustic Grand Piano
McPherson, A. (2010) · Journal of New Music Research · doi:10.1080/09298211003695587 · Cited by 55 · cited 1× · see citing works
“Examples of this category are the Magnetic Resonator Piano [64], the Feedback Resonance Guitar [85], or the Overtone Fiddle [84].”
BackgroundThe Machine Learning Algorithm as Creative Musical Tool
Fiebrink, R. A., & Caramiaux, B. (2018) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190226992.013.23 · Cited by 55 · see citing works
Oscillator and Filter Algorithms for Virtual Analog Synthesis
Välimäki, V., & Huovilainen, A. (2006) · Computer Music Journal · doi:10.1162/comj.2006.30.2.19 · Cited by 54 · see citing works
Ecologically Grounded Creative Practices in Ubiquitous Music
Keller, D., & Lazzarini, V. (2017) · Organised Sound · doi:10.1017/s1355771816000340 · Cited by 54 · cited 1× · see citing works
“Smart instruments are instances of ‘‘Musical Things’’, within the ‘‘Internet of Musical Things’’ (IoMusT) paradigm [49], [112], [113], which refers to the network of interoperable devices dedicated to the production and/or reception of musical content.”
BackgroundThe acoustic, the digital and the body
Magnusson, T., & Mendieta, E. H. (2007) · doi:10.1145/1279740.1279757 · Cited by 52 · cited 1× · see citing works
“For instance, while HCI often targets the improvement of human performance with interactive technologies, measured in terms of efficiency and accuracy, NIME focuses on concepts such as creativity [60], expressivity [24], engagement [16], constraints [58], appropriation [127], and”
BackgroundAdvancements in Actuated Musical Instruments
Overholt, D., Berdahl, E. J., & Hamilton, R. (2011) · Organised Sound · doi:10.1017/s1355771811000100 · Cited by 47 · cited 1× · see citing works
“Examples of this category are the Magnetic Resonator Piano [64], the Feedback Resonance Guitar [85], or the Overtone Fiddle [84].”
BackgroundDesigning and evaluating virtual musical instruments: facilitating conversational user interaction
Johnston, A., Candy, L., & Edmonds, E. (2008) · Design Studies · doi:10.1016/j.destud.2008.07.005 · Cited by 46 · cited 1× · see citing works
“In 2008, Johnston and colleagues proposed design and evaluation criteria specific for DMIs based on acoustic instruments controlling virtual instruments simulated with physical modeling techniques [46].”
BackgroundTowards Unified Design Guidelines for New Interfaces for Musical Expression
Paine, G. (2009) · Organised Sound · doi:10.1017/s1355771809000259 · Cited by 46 · cited 1× · see citing works
“, strummed, plucked, blowed, hit, or bowed) in order to control the electronically generated sounds [86].”
BackgroundBuilding a Maker Community Around an Open Hardware Platform
Morreale, F., Moro, G., Chamberlain, A., Benford, S., & McPherson, A. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3026056 · Cited by 45 · cited 3× · see citing works
“To attract the musicians and favor the adoption of SMIs we suggest that the instrument should have ‘‘signature features’’ [79] (also called ‘‘unique identity’’ in [83]).”
BackgroundBurgoyne, J., Fujinaga, I., & Downie, J. S. (2015) · doi:10.1002/9781118680605.ch15 · Cited by 45 · see citing works
Wireless Networked Music Performance
Gabrielli, L., & Squartini, S. (2015) · Springer briefs in electrical and computer engineering · doi:10.1007/978-981-10-0335-6 · Cited by 44 · see citing works
An Overview of Semantic Web Activities in the OMRAS2 Project
Fazekas, G., Raimond, Y., Jacobson, K., & Sandler, M. B. (2010) · Journal of New Music Research · doi:10.1080/09298215.2010.536555 · Cited by 43 · cited 1× · see citing works
“, [2], [90], [100]), which are structured, machine processable representations of audio analyses that facilitate automated data processing and knowledge-based reasoning [28].”
BackgroundAction-Sound Latency: Are Our Tools Fast Enough?
Mcpherson, A., Jack, R., & Moro, G. (2020) · Queen Mary Research Online (Queen Mary University of London) · doi:10.5281/zenodo.3964610 · Cited by 41 · see citing works
Musical Organics: A Heterarchical Approach to Digital Organology
Magnusson, T. (2017) · Journal of New Music Research · doi:10.1080/09298215.2017.1353636 · Cited by 38 · cited 1× · see citing works
“Considering an organological perspective [59], one can draw the following relationships between SMIs and existing DMIs.”
BackgroundRe-Designing Principles For Computer Music Controllers : A Case Study Of Squeezevox Maggie
Cook, P. R. (2009) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1177492 · Cited by 37 · see citing works
The musical interface technology design space
Overholt, D. (2009) · Organised Sound · doi:10.1017/s1355771809000326 · Cited by 36 · cited 3× · see citing works
“To attract the musicians and favor the adoption of SMIs we suggest that the instrument should have ‘‘signature features’’ [79] (also called ‘‘unique identity’’ in [83]).”
BackgroundMusical Interface Design: An Experience-Oriented Framework
Morreale, F., Angeli, A. D., & O’Modhrain, S. (2014) · Iris (University of Trento) · doi:10.5281/zenodo.1178878 · Cited by 33 · see citing works
Dimensionality And Appropriation In Digital Musical Instrument Design
Zappi, V., & McPherson, A. (2014) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1178992 · Cited by 33 · see citing works
Malloch, J. W., Sinclair, S., & Wanderley, M. M. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2479617 · Cited by 31 · cited 1× · see citing works
“These standards may include protocols for wireless transmission and for musical data exchange or synchronization over it, along with mechanisms for auto-configuration and auto-identification [25], [62].”
BackgroundThe Overtone Fiddle: An Actuated Acoustic Instrument
Overholt, D. (2011) · VBN Forskningsportal (Aalborg Universitet) · doi:10.5281/zenodo.1178126 · Cited by 30 · see citing works
A Low-Cost Real-Time Tracking System for Violin
Pardue, L., Harte, C. A., & McPherson, A. (2015) · Journal of New Music Research · doi:10.1080/09298215.2015.1087575 · Cited by 30 · see citing works
Classifying Smart Objects using capabilities
Hernández, M. P., & Reiff‐Marganiec, S. (2014) · doi:10.1109/smartcomp.2014.7043873 · Cited by 29 · cited 1× · see citing works
“, [38], [50]) and in particular the recent work of Cena et al.”
ResultExamples of use cases with Smart Instruments
Turchet, L., Benincaso, M., & Fischione, C. (2017) · Audio Mostly Conference (AM) · doi:10.1145/3123514.3123553 · Cited by 29 · cited 1× · see citing works
“The Sensus Smart Guitar has been used to wirelessly control visuals, digital audio workstations running on laptops, virtual reality headsets, to control or be controlled by smartphones, to record audio files and share them on social networks [111].”
MethodSelf-citationAn active mute for the trombone
Meurisse, T., Mamou-Mani, A., Caussé, R., Sluchin, B., & Sharp, D. (2015) · The Journal of the Acoustical Society of America · doi:10.1121/1.4936901 · Cited by 27 · cited 1× · see citing works
“, [69], [70]) to indicate musical instruments with onboard acoustic actuation, which is only one component of a SMI in the usage proposed by the author and colleagues in [116].”
BackgroundTowards an Aesthetics of Touch
Hayes, L., & Rajko, J. J. (2017) · International Conference on Movement and Computing (MOCO) · doi:10.1145/3077981.3078028 · Cited by 27 · cited 1× · see citing works
“For instance, aesthetic considerations should be made when designing haptic sensations for the musicians (both physically and digitally produced), as they may affect how pleasant the interaction of the musician with the instrument is perceived [36].”
BackgroundTowards The Internet Of Musical Things
Turchet, L., Fischione, C., & Barthet, M. (2017) · Institutional Research Information System (Università degli Studi di Trento) · doi:10.5281/zenodo.1401868 · Cited by 26 · see citing works
Self-citationTurchet, L. (2018) · doi:10.1145/3243274.3243280 · Cited by 25 · cited 7× · see citing works
“For instance, the Smart Mandolin has been used to perform concerts leveraging 4www.youtube.com/watch?v=BTTVOk-OpaA 5www.mindmusiclabs.com/wp-content/uploads/2018/01/DVMark- Smart-Multiamp.pdf real-time audio features extraction techniques.”
BackgroundMethodInfluentialSelf-citationOperating systems latency measurement and analysis for sound synthesis and processing applications
Freed, A., Chaudhary, A., & Davila, B. (1997) · University of Michigan Library Repository · Cited by 24 · see citing works
Crafting Interactive Decoration
Benford, S., Koleva, B. N., Quinn, A., Thorn, E. L., Glover, K., Preston, W., Hazzard, A., Rennick‐Egglestone, S., Greenhalgh, C., & Mortier, R. (2017) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3058552 · Cited by 24 · cited 1× · see citing works
“developed the Carolan Guitar, an acoustic guitar augmentedwith decorations in form of QR codes that allow one to collect and access online digital records about the history of the instrument [6].”
BackgroundMerrill, D. J., & Paradiso, J. A. (2005) · Cited by 23 · see citing works
Music Ontology for Mood and Situation Reasoning to Support Music Retrieval and Recommendation
Song, S., Kim, M., Rho, S., & Hwang, E. (2009) · International Conference on the Digital Society · doi:10.1109/icds.2009.50 · Cited by 22 · cited 1× · see citing works
“, [2], [90], [100]), which are structured, machine processable representations of audio analyses that facilitate automated data processing and knowledge-based reasoning [28].”
BackgroundA Timbre Analysis And Classification Toolkit For Pure Data.
Brent, W. (2010) · University of Michigan Library Repository · Cited by 22 · see citing works
An Ontology For Audio Features.
Allik, A., Fazekas, G., & Sandler, M. B. (2016) · International Symposium/Conference on Music Information Retrieval · doi:10.5281/zenodo.1416225 · Cited by 22 · see citing works
Real-Time Hit Classification in a Smart Cajón
Turchet, L., McPherson, A., & Barthet, M. (2018) · Frontiers in ICT · doi:10.3389/fict.2018.00016 · Cited by 22 · see citing works
Self-citationAmateur Musicians, Long-Term Engagement, and HCI
Wallis, I., Ingalls, T., Campana, E., & Vuong, C. (2013) · Springer series on cultural computing · doi:10.1007/978-1-4471-2990-5_3 · Cited by 21 · cited 1× · see citing works
“This principle is in line with existing design frameworks that suggested that the execution and the identification of unique playing styles should be supported by means of personalization capabilities offered by a DMI [76], [120].”
ResultMulti-dimensional intelligence in smart physical objects
Cena, F., Console, L., Matassa, A., & Torre, I. (2017) · Information Systems Frontiers · doi:10.1007/s10796-017-9758-y · Cited by 21 · cited 17× · see citing works
“V. OPEN CHALLENGES AND FUTURE DIRECTIONS IoT technologies have provided new possibilities for exploration of musical interactions between the players and their instrument, between players, and between players and audiences, in both co-located and remote settings.”
BackgroundInfluentialTurchet, L., McPherson, A., & Barthet, M. (2018) · Journal of the Audio Engineering Society · doi:10.17743/jaes.2018.0007 · Cited by 19 · cited 6× · see citing works
“The Smart Mandolin and the Smart Cajón have been utilized to control haptic wearable devices [108] in possession of audience members, by exploiting real-time audio features extraction techniques [107], [109].”
BackgroundMethodInfluentialSelf-citationMusical Instruments in the 21st Century
Bovermann, T., de Campo, A., Egermann, H., Hardjowirogo, S.-I., & Weinzierl, S. (2016) · Springer eBooks · doi:10.1007/978-981-10-2951-6 · Cited by 18 · see citing works
How To Make Embedded Acoustic Instruments
Berdahl, E. J. (2014) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1178709 · Cited by 17 · see citing works
Tuchet, L., McPherson, A., & Fischione, C. (2019) · Cited by 17 · see citing works
Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework
Fazekas, G., Barthet, M., & Sandler, M. B. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-12976-1_8 · Cited by 14 · cited 1× · see citing works
“Some of these systems have been developed for technology-mediated audience participation (TMAP) purposes [39], where the audience of live music performances takes part to the creative process and interacts with the performers [20], [27], [89], [125].”
BackgroundMultiple-Model Linear Kalman Filter Framework for Unpredictable Signals
Medeiros, C. B., & Wanderley, M. M. (2014) · IEEE Sensors Journal · doi:10.1109/jsen.2013.2291683 · Cited by 13 · see citing works
Democratising Dmis: The Relationship Of Expertise And Control Intimacy
Jack, R. H., Harrison, J., Morreale, F., & McPherson, A. (2018) · ResearchSpace (University of Auckland) · doi:10.5281/zenodo.1302538 · Cited by 13 · see citing works
Smart Instruments: Towards An Ecosystem Of Interoperable Devices Connecting Performers And Audiences
Turchet, L., McPherson, A., & Fischione, C. (2016) · Institutional Research Information System (Università degli Studi di Trento) · doi:10.5281/zenodo.851324 · Cited by 13 · see citing works
Self-citationSimulations of Modal Active Control Applied to the Self-Sustained Oscillations of the Clarinet
Meurisse, T., Mamou-Mani, A., Caussé, R., Chomette, B., & Sharp, D. (2014) · Acta acustica united with Acustica · doi:10.3813/aaa.918794 · Cited by 11 · see citing works
The Electrumpet , A Hybrid Electro-Acoustic Instrument
Leeuw, H. (2009) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1177612 · Cited by 10 · see citing works
Embedded Networking And Hardware-Accelerated Graphics With Satellite Ccrma
Berdahl, E. J., Salazar, S., & Borins, M. (2013) · doi:10.5281/zenodo.1178475 · Cited by 10 · see citing works
Some reflections on the relation between augmented and smart musical instruments
Turchet, L. (2018) · Audio Mostly Conference (AM) · doi:10.1145/3243274.3243281 · Cited by 9 · see citing works
Self-citationSatellite Ccrma: A Musical Interaction And Sound Synthesis Platform
Berdahl, E. J., & Ju, W. G. (2011) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1177957 · Cited by 9 · cited 3× · see citing works
“[9] E. Berdahl, S. Salazar, and M. Borins, ‘‘Embedded networking and hardware-accelerated graphics with satellite CCRMA,’’ in Proc.”
Satellite Ccrma: A Musical Interaction And Sound Synthesis Platform
Berdahl, E. J., & Ju, W. G. (2011) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1177956 · Cited by 9 · see citing works
Automated Ad Hoc Networking for Mobile and Hybrid Music Performance.
Essl, G. (2011) · University of Michigan Library Repository · Cited by 8 · see citing works
Design Implications For Technology-Mediated Audience Participation In Live Music
Hödl, O., Fitzpatrick, G., Kayali, F., & Holland, S. (2017) · Open Research Online (The Open University) · doi:10.5281/zenodo.1401872 · Cited by 8 · see citing works
Vásquez, J. C., Tahıroğlu, K., & Kildal, J. (2017) · Aaltodoc (Aalto University) · doi:10.5281/zenodo.1181423 · Cited by 8 · see citing works
Turchet, L., & Barthet, M. (2018) · Institutional Research Information System (Università degli Studi di Trento) · doi:10.5072/zenodo.219699 · Cited by 7 · see citing works
Self-citationTurchet, L. (2017) · doi:10.1145/3123514.3123539 · Cited by 6 · cited 1× · see citing works
“Among the numerous examples of this category, one can cite the Hyper Flute [87], the Augmented Violin [11], the Electrumpet [55], or the Hyper Mandolin [103].”
BackgroundSelf-citationReconfigurable Autonomous Novel Guitar Effects (Range)
MacConnell, D., Trail, S., Tzanetakis, G., Driessen, P., & Page, W. H. (2013) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.850364 · Cited by 6 · see citing works
Ubiquitous Musical Activities with Smart Musical Instruments
Turchet, L., & Barthet, M. (2018) · Institutional Research Information System (Università degli Studi di Trento) · Cited by 6 · see citing works
Self-citationReal-Time Timbre Classification for Tabletop Hand Drumming
Jathal, K. (2017) · Computer Music Journal · doi:10.1162/comj_a_00419 · Cited by 5 · see citing works
Jin, C. T., Davies, M. E. P., & Campisi, P. (2017) · IEEE Signal Processing Magazine · doi:10.1109/msp.2017.2698075 · Cited by 5 · cited 1× · see citing works
“More often such methods are applied offline, especially by analyzing large datasets of audio files [5], while some authors have used real-time feature extraction for performance purposes [15], [43], [45], [74], especially employing machine learning techniques [29], [91].”
MethodPrinciples to Design Smart Physical Objects as Adaptive Recommenders
Cena, F., Console, L., Matassa, A., & Torre, I. (2017) · IEEE Access · doi:10.1109/access.2017.2765746 · Cited by 5 · cited 1× · see citing works
“Design principles and considerations developed by the IoT research community include proposals for the characteristics and capabilities of the smart objects composing the IoT [18], [19], [50], on the services they can support [4], or on processes for industries [37].”
BackgroundAugmentation of Acoustic Drums using Electromagnetic Actuation and Wireless Control
Gregorio, J., & Kim, Y. E. (2018) · Journal of the Audio Engineering Society · doi:10.17743/jaes.2018.0008 · Cited by 5 · cited 2× · see citing works
“developed a drum-based DMI that shares several features with SMIs: sensors and actuators enhancements, embedded sound processing, wireless connectivity for reception of OSC messages [35].”
BackgroundEmbedded Multichannel Linux Audiosystem for Musical Applications
Langer, H., & Manzke, R. (2017) · doi:10.1145/3123514.3123523 · Cited by 4 · see citing works
The joystyx: a quartet of embedded acoustic instruments.
Blessing, M., & Berdahl, E. J. (2017) · New Interfaces for Musical Expression · doi:10.5072/zenodo.204955 · Cited by 4 · see citing works
Improving The Real-Time Performance Of A Causal Audio Drum Transcription System
Miron, M., Davies, M. E. P., & Gouyon, F. (2013) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.850288 · Cited by 4 · see citing works
Hard real-time onset detection of percussive sounds
Turchet, L. (2018) · Iris (University of Trento) · Cited by 4 · see citing works
Self-citationEnabling Interactive and Interoperable Semantic Music Applications
García, J. C., Kudumakis, P., Barbancho, I., Tardón, L. J., & Sandler, M. B. (2018) · Springer handbooks · doi:10.1007/978-3-662-55004-5_45 · Cited by 3 · cited 1× · see citing works
“Current efforts towards this end are represented by the MPEG-A: Interactive Music Application Format [34], which combines multiple audio tracks and appropriate additional information and is expected to enable interoperability among the interactive music services recently emerged.”
BackgroundRimoldi, G., & Manzolli, J. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67738-5_21 · Cited by 2 · see citing works
Proceedings of the DMRN+12: Digital Music Research Network Workshop
Kudumakis, P., & Sadler, M. (2017) · Institutional Research Information System (Università degli Studi di Trento) · doi:10.26494/dmrn.2017.30583 · Cited by 2 · see citing works
Self-citationEmbedded Multichannel Linux Audiosystem for Musical Applications
Langer, H., & Manzke, R. (2018) · Journal of the Audio Engineering Society · doi:10.17743/jaes.2018.0022 · Cited by 1 · see citing works
Flagged first, then by citations
1 of the 117 references couldn’t be matched to a known paper.
Research works printed but not linked: 16
- [20]20. A. Clément, F. Ribeiro, R. Rodrigues, and R. Penha, ''Bridging the gap between performers and the audience using networked smartphones: The a.bel system,'' in Proc. Int. Conf. Live Interfaces, 2016, pp. 1-7.
- [24]24. C. Dobrian and D. Koppelman, ''The 'E' in NIME: Musical expression with new computer interfaces,'' in Proc. Conf. New Interfaces Musical Expression, 2006, pp. 277-282.
- [26]26. G. Essl and S. W. Lee, ''Mobile devices as musical instruments-State of the art and future prospects,'' in Proc. Int. Symp. Comput. Music Multidisciplinary Res., 2017, pp. 1-12.
- [44]44. A. R. Jensenius and M. J. Lyons, A NIME Reader: Fifteen Years of New Interfaces for Musical Expression. Cham, Switzerland: Springer, 2017.
- [53]53. V. Lazzarini, J. Timoney, and S. Byrne, ''Embedded sound synthesis,'' in Proc. Linux Audio Conf., 2015, pp. 1-21.
- [62]62. J. Malloch, S. Sinclair, and M. M. Wanderley, ''Libmapper: (A library for connecting things),'' in Proc. Extended Abstracts Human Factors Comput. Syst., 2013, pp. 3087-3090.
- [71]71. A. Migicovsky, J. Scheinerman, and G. Essl, ''MoveOSC-Smart watches in mobile music performance,'' in Proc. Int. Comput. Music Conf. Sound Music Comput. Conf., 2014, pp. 692-696.
- [77]77. F. Morreale and A. P. McPherson, ''Design for longevity: Ongoing use of instruments from NIME 2010-14,'' in Proc. Conf. New Interfaces Musical Expression (NIME), 2017, pp. 1-7.
- [78]78. F. Morreale, A. P. McPherson, and M. M. Wanderley, ''NIME identity from the performer's perspective,'' in Proc. Conf. New Interfaces Musical Expression, 2018, pp. 168-173.
- [81]81. D. Norman, The Design of Everyday Things: Revised and Expanded Edition. New York, NY, USA: Basic Books, 2013.
- [87]87. C. Palacio-Quintin, ''The hyper-flute,'' in Proc. Conf. New Interfaces Musical Expression, 2003, pp. 206-207.
- [89]89. D. Poirier-Quinot, B. Matuszewski, N. Schnell, and O. Warusfel, ''Nü soundworks: Using spectators smartphones as a distributed network of speakers and sensors during live performances,'' in Proc. Web Audio Conf., 2017, pp. 1-6.
- [94]94. D. Schuler and A. Namioka, Participatory Design: Principles and Prac- tices. Boca Raton, FL, USA: CRC Press, 1993.
- [101]101. S. Staab and R. Studer, Eds., Handbook on Ontologies. New York, NY, USA: Springer, 2010.
- [107]107. L. Turchet and M. Barthet, ''An Internet of musical things architecture for performers-audience tactile interactions,'' in Proc. Digit. Music Res. Netw. Workshop, 2017.
- [108]108. L. Turchet and M. Barthet, ''Envisioning smart musical haptic wearables to enhance performers' creative communication,'' in Proc. Int. Symp. Comput. Music Multidisciplinary Res., 2017, pp. 538-549.
Cited by
Sorted by citations
Turchet, L., Hamilton, R., & Çamcı, A. (2021) · IEEE Access · doi:10.1109/access.2021.3052931 · Cited by 118 · see citing works
“Such opportunities envisioned in [145] with respect to Smart VRMIs have yet to be explored for the most part.”
BackgroundSelf-citationTurchet, L., West, T., & Wanderley, M. M. (2021) · Personal and Ubiquitous Computing · doi:10.1007/s00779-020-01395-2 · Cited by 104 · see citing works
“The sounds produced by performers must be first digitized via a soundcard in case the instrument is not digital or smart [52].”
BackgroundInfluentialSelf-citationMusical Metaverse: vision, opportunities, and challenges
Turchet, L. (2023) · Personal and Ubiquitous Computing · doi:10.1007/s00779-023-01708-1 · Cited by 109 · see citing works
“These include smart musical instruments [45] and wearable devices for performers and audiences [46].”
BackgroundSelf-citationThe Internet of Sounds: Convergent Trends, Insights, and Future Directions
Turchet, L., Lagrange, M., Rottondi, C., Fazekas, G., Peters, N., Østergaard, J., Font, F., Bäckström, T., & Fischione, C. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3253602 · Cited by 91 · see citing works
“Other authors have proposed preliminary architectures based on Semantic Web technologies to foster interoperability across heterogeneous Musical Things.”
BackgroundInfluentialSelf-citationTurchet, L., & Fischione, C. (2021) · ACM Transactions on Internet of Things · doi:10.1145/3446393 · Cited by 56 · see citing works
“Hence, for projects involving heterogeneous IoMusT hardware (such as smart instruments [46]), it is possible to build the whole software sys-tem upon Elk Audio OS and easily adopt existing libraries.”
BackgroundSelf-citationZhang, C., Liu, H., Hao, Y., Yang, J., Qiao, W., Qin, Y., Su, W., Zhang, H., Wang, J., & Li, X. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.151274 · Cited by 50 · see citing works
The Internet of Musical Things Ontology
Turchet, L., Antoniazzi, F., Viola, F., Giunchiglia, F., & Fazekas, G. (2020) · Journal of Web Semantics · doi:10.1016/j.websem.2020.100548 · Cited by 41 · see citing works
Self-citationCloud-smart Musical Instrument Interactions
Turchet, L., Pauwels, J., Fischione, C., & Fazekas, G. (2020) · ACM Transactions on Internet of Things · doi:10.1145/3377881 · Cited by 36 · see citing works
“According to the vision proposed in Reference [33], the embedded intelligence of an SMI is characterized by five core capabilities: (1) knowledge management, i.e., the capability of maintaining knowledge about itself and the environment; (2) reasoning, i.e., the capability of making inferences on…”
BackgroundInfluentialSelf-citationAn ubiquitous smart guitar system for collaborative musical practice
Turchet, L., & Barthet, M. (2019) · Journal of New Music Research · doi:10.1080/09298215.2019.1637439 · Cited by 38 · see citing works
“One of the building blocks of the IoMusT paradigm is the so-called smart musical instruments (SMIs), an emerging class of musical instruments characterised by embedded sensors, actuators, wireless connectivity, and on-board processing (Turchet, 2019).”
BackgroundMethodSelf-citationGao, H., & Li, F. (2023) · Entertainment Computing · doi:10.1016/j.entcom.2023.100619 · Cited by 30 · see citing works
Blockchain-based Internet of Musical Things
Turchet, L., & Ngo, C. N. (2022) · Blockchain Research and Applications · doi:10.1016/j.bcra.2022.100083 · Cited by 20 · see citing works
“One of the most prominent instances of Musical Things is the so-called Smart Musical Instruments, an emerging category of IoT devices characterized by sensors, actuators, wireless connectivity, and embedded intelligence [2].”
BackgroundSelf-citationSemantic Web of Musical Things: Achieving interoperability in the Internet of Musical Things
Turchet, L., & Antoniazzi, F. (2022) · Journal of Web Semantics · doi:10.1016/j.websem.2022.100758 · Cited by 20 · see citing works
“Similarly, the IoMusT and SMI ontologies (responsible for semantic interoperability and discoverability) have already been evaluated in their respective studies [17, 11].”
BackgroundMethodSelf-citationTowards a 5G Communication Architecture for the Internet of Musical Things
Centenaro, M., Casari, P., & Turchet, L. (2020) · Conference of Open Innovations Association (FRUCT) · doi:10.23919/fruct49677.2020.9210980 · Cited by 19 · see citing works
“For instance, it is envisioned that musical instruments will equip with a communication interface, making them smart musical instruments (SMIs) [3].”
BackgroundSelf-citationTurchet, L., & Pauwels, J. (2021) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2021.3138709 · Cited by 18 · see citing works
“Smart musical instruments [10] is an emerging class of digital musical instruments, which is envisioned to be aware of the emotions expressed by the performers in order to support various kinds of musical activities through dedicated services (such as the query of music repositories by playing excerpts with a given em…”
BackgroundSelf-citationLu, L., Kang, J., Crispin, C., & Girouard, A. (2023) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3597638.3608397 · Cited by 18 · see citing works
“Concep-tualizing music as multimodal, MHWs can communicate musical information by utilizing tactile sensations (e.g., pressure), with the vibrotactile feedback being one common input [46, 81, 82, 84, 85].”
BackgroundAvila, J. P. M., Greenhalgh, C., Hazzard, A., Benford, S., & Chamberlain, A. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300706 · Cited by 18 · see citing works
“Alternatively, if these guitars were Smart Musical Instruments [36,37] then these digital resources might be physically stored in and accessed through the instrument.”
BackgroundDavanzo, N., & Avanzini, F. (2020) · IEEE Access · doi:10.1109/access.2020.3019978 · Cited by 16 · see citing works
“[146] L. Turchet, ‘‘Smart musical instruments: Vision, design principles, and future directions,’’ IEEE Access, vol. 7, pp. 8944–8963, 2019.”
BackgroundInfluentialThe Smart Musical Instruments Ontology
Turchet, L., Bouquet, P., Molinari, A., & Fazekas, G. (2021) · Journal of Web Semantics · doi:10.1016/j.websem.2021.100687 · Cited by 15 · see citing works
Self-citationVieira, R., Gonçalves, L. L., & Schiavoni, F. L. (2020) · Brazilian Symposium on Computing System Engineering (SBESC) · doi:10.1109/sbesc51047.2020.9277862 · Cited by 14 · see citing works
“Smart musical instruments (SMIs) [30], which are instruments characterized by the presence of sensors and actuators equipped with intelligence and that allow to connect to the network, also appear as a solution.”
BackgroundAn Adaptive Metronome Technique for Mitigating the Impact of Latency in Networked Music Performances
Battello, R., Comanducci, L., Antonacci, F., Sarti, A., Monache, S. D., Cospito, G., Pietrocola, E., & Berbenni, F. (2020) · Conference of Open Innovations Association (FRUCT) · doi:10.23919/fruct49677.2020.9211053 · Cited by 12 · see citing works
“For example we can imagine smart instruments [18] embedding a metronome in a way to provide an efficient way to face the network latency.”
BackgroundJamming with a Smart Mandolin and Freesound-based Accompaniment
Turchet, L., & Barthet, M. (2018) · Conference of Open Innovations Association (FRUCT) · doi:10.23919/fruct.2018.8588110 · Cited by 11 · see citing works
“Examples of commercial smart instruments include the Sensus Smart Guitar developed by MIND Music Labs [16], an electroacoustic guitar with on-board processing (ELK music operating system [54]), sensors and wireless communication, as well as the HyVibe guitar [55], an acoustic guitar with an active vibration control sy…”
BackgroundMethodSelf-citationSmart Mandolin and Musical Haptic Gilet
Turchet, L., West, T. J., & Wanderley, M. M. (2019) · Audio Mostly Conference (AM) · doi:10.1145/3356590.3356616 · Cited by 10 · see citing works
“Examples of Musical Things are musical haptic wearables for the audience (MHWAs) [14] and smart musical instruments [12].”
BackgroundSelf-citationIs Music in the Air? Evaluating 4G and 5G Support for the Internet of Musical Things
Vignati, L., Nardini, G., Centenaro, M., Casari, P., Lagén, S., Bojović, B., Zambon, S., & Turchet, L. (2024) · IEEE Access · doi:10.1109/access.2024.3374641 · Cited by 10 · see citing works
“In cellular networks, smart musical instruments (SMIs) (as well as other kinds of Musical Things) can be seen as a completely new class of user equipments (UEs) [2].”
BackgroundSelf-citationAn Ethics Framework for the Internet of Musical Things
Brusseau, J., & Turchet, L. (2024) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2024.3398423 · Cited by 11 · see citing works
“Musical things, such as smart musical instruments [8] or musical haptic wearables [9], are connected by an infrastructure that enables multidirectional communication, both locally and remotely.”
Self-citationTowards a Semantic Architecture for the Internet of Musical Things
Turchet, L., Viola, F., Fazekas, G., & Barthet, M. (2018) · Conference of Open Innovations Association (FRUCT) · doi:10.23919/fruct.2018.8587917 · Cited by 10 · see citing works
“An example of this family of instruments is the Sensus Smart Guitar developed by MIND Music Labs [5].”
BackgroundMethodInfluentialSelf-citationTowards an Internet of Multisensory, Multimedia and Musical Things (Io3MT) Environment
Vieira, R., Muchaluat-Saade, D. C., & Cesar, P. S. (2023) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/ieeeconf59510.2023.10335383 · Cited by 9 · see citing works
“Additionally, IoS facilitates the interconnection of smart musical instruments (SMI) [7] and supports the creation of innovative wearable musical equipment.”
BackgroundC Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things
Viola, F., Turchet, L., Antoniazzi, F., & Fazekas, G. (2018) · Conference of Open Innovations Association (FRUCT) · doi:10.23919/fruct.2018.8588087 · Cited by 9 · see citing works
“Smart Instruments are a family of musical instruments characterized by embedded computational intelligence, wireless connectivity, an embedded sound delivery system, and an onboard system for feedback to the player [23], [47].”
BackgroundSelf-citationMasu, R., Merendino, N., Rodà, A., & Turchet, L. (2024) · IEEE Access · doi:10.1109/access.2024.3393468 · Cited by 8 · see citing works
“Noticeable examples in this space are the so-called smart musical instruments [120] and the musical haptic wearables for performers or audience members [127].”
BackgroundSelf-citationExperimenting With Adaptive Metronomes in Networked Music Performances!
Battello, R., Comanducci, L., Antonacci, F., Cospito, G., & Sarti, A. (2021) · Journal of the Audio Engineering Society · doi:10.17743/jaes.2021.0034 · Cited by 8 · see citing works
Musician-AI partnership mediated by emotionally-aware smart musical instruments
Turchet, L., Stefani, D., & Pauwels, J. (2024) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103340 · Cited by 7 · see citing works
Self-citationImmersive Io3MT Environments: Design Guidelines, Use Cases and Future Directions
Vieira, R., Wei, S., Röggla, T., Muchaluat-Saade, D. C., & Cesar, P. S. (2024) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is262782.2024.10704141 · Cited by 9 · see citing works
“Despite being in its early stages, practical applications of these concepts have already been explored, such as in networked music performance [1] and multimedia remixing practices [4] utilizing smart musical instruments (SMIs) [5].”
BackgroundJahromi, G. S., & Ghazinoory, S. (2023) · Information Systems and e-Business Management · doi:10.1007/s10257-023-00639-x · Cited by 7 · see citing works
“It can also be used in live stage performances to record bands in separate studios (Turchet 2019).”
BackgroundCategories, Musical Instruments, and Drawings: A Unification Dream
Mannone, M., & Favali, F. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-21392-3_5 · Cited by 7 · see citing works
Turchet, L., & Rottondi, C. (2022) · Personal and Ubiquitous Computing · doi:10.1007/s00779-022-01691-z · Cited by 7 · see citing works
“These are an emerging category of musical instruments characterized by sensors, actuators, wireless connectivity, and embedded intelligence [69].”
BackgroundSelf-citationRemixDrum: A Smart Musical Instrument for Music and Visual Art Remix
Vieira, R., da Rocha, M. M., Albuquerque, C. V. N., Muchaluat-Saade, D. C., & Cesar, P. S. (2023) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot58464.2023.10539401 · Cited by 7 · see citing works
“A prominent example within this realm is the Smart Musical Instrument (SMI) [6], [7].”
BackgroundRequirements for a File Format for Smart Musical Instruments
Turchet, L., & Kudumakis, P. (2019) · International Workshop on Multilayer Music Representation and Processing (MMRP) · doi:10.1109/mmrp.2019.8665380 · Cited by 7 · see citing works
“The “smart musical instruments” are an emerging family of digital musical instruments [1], which draws upon different lines of existing research including augmented instruments [2], embedded acoustic instruments, [3], and networked music performance systems [4].”
BackgroundSelf-citationSOURCE: a Freesound Community Music Sampler
Font, F. (2021) · Audio Mostly Conference (AM) · doi:10.1145/3478384.3478388 · Cited by 7 · see citing works
“We believe the ideas behind 8https://www.ableton.com/en/live/max-for-live 9https://www.ableton.com/en/live 10https://ffont.github.io/freesound-loop-generator 11https://www.xlnaudio.com/products/xo 12https://www.loopcloud.com/cloud 13https://lesound.io/product/audiotexture-free 14https://output.com/products/arcade SOUR…”
BackgroundLu, L., Crispin, C., Piao, Z., Eze-Anyanwu, A., & Girouard, A. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713298 · Cited by 7 · see citing works
“In music settings, studies have explored haptics as musical instruments [9, 48, 51], for conveying musical instruction [17, 21, 24, 25, 36], as a technical learning aid [10, 53], for communication [50] and for synchronization [3, 5, 15, 16].”
Real-Time Embedded Deep Learning on Elk Audio OS
Stefani, D., & Turchet, L. (2023) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/ieeeconf59510.2023.10335204 · Cited by 6 · see citing works
“In this context, we believe that any effort in reducing the gap between development and deployment for audio and music DL can foster the creation of new self-contained Digital Musical Instruments (DMIs), such as Smart Musical Instruments (SMIs) [12], as well as AI-equipped audio devices.”
BackgroundSelf-citationPopulating the Smart Musical Instruments Ontology with Data
Turchet, L., Zhu, G., & Bouquet, P. (2020) · Conference of Open Innovations Association (FRUCT) · doi:10.23919/fruct49677.2020.9210986 · Cited by 6 · see citing works
“This is a classic Neapolitan mandolin smartified with different types of sensors, a microphone, a loudspeaker, wireless connectivity to both local networks and the Internet, and a low-latency audio processing board [28].”
BackgroundInfluentialSelf-citationA Physical Intelligent Instrument using Recurrent Neural Networks.
Næss, T. R., & Martin, C. P. (2019) · NORA - Norwegian Open Research Archives · Cited by 6 · see citing works
Using Web Audio Modules for Immersive Audio Collaboration in the Musical Metaverse
Buffa, M., Girard, D., & Hofr, A. (2024) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is262782.2024.10704108 · Cited by 5 · see citing works
Strain engineering of TiS2/WS2 layered heterojunction materials for instrument sensors: A DFT study
Zhou, Y. (2025) · Chemical Physics · doi:10.1016/j.chemphys.2025.112950 · Cited by 5 · see citing works
Voice-based interface for accessible soundscape composition
Turchet, L., & Zanetti, A. (2020) · Audio Mostly Conference (AM) · doi:10.1145/3411109.3411113 · Cited by 5 · see citing works
“…querying online sounds repositories AM’20, September 15–17, 2020, Graz, Austria the Internet of Audio Things [37] and Internet of Musical Things [38] paradigms interface Audio Commons repositories with devices based on embedded systems such as wearables [29] or smart musical instruments [35].”
BackgroundMethodSelf-citationSmart Musical Instruments preset sharing: an ontology-based data access approach
Turchet, L., & Bouquet, P. (2021) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot51360.2021.9595417 · Cited by 5 · see citing works
Self-citationComposing the Network with Streams
Clester, I., & Freeman, J. (2021) · Audio Mostly Conference (AM) · doi:10.1145/3478384.3478416 · Cited by 5 · see citing works
“Recent work on the Internet of Sounds (or the related areas of the Internet of Audio Things [10] and Internet of Musical Things [11]) has focused on the instrument: Internet-enabled smart instruments that combine sensors, computational capabilities, and network connectivity [8].”
BackgroundOn making physical the control of audio plugins
Turchet, L., Willis, S., Andersson, G., Gianelli, A., & Benincaso, M. (2020) · Audio Mostly Conference (AM) · doi:10.1145/3411109.3411114 · Cited by 5 · see citing works
“Taken together, these features make the Retrologue Hardware Synth an instance of the family of smart musical instruments proposed in [25].”
BackgroundSelf-citationReal-Time Pattern Recognition of Symbolic Monophonic Music
Silva, N., & Turchet, L. (2024) · Audio Mostly Conference (AM) · doi:10.1145/3678299.3678329 · Cited by 4 · see citing works
“This is particularly true for applications centered around the so-called smart musical instruments [30].”
Self-citationDSP as a Service: Foundations and Directions
Turchet, L., & Krstulović, S. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3464696 · Cited by 4 · see citing works
“A prominent example is the family of smart musical instruments proposed in [14].”
BackgroundSelf-citationRomani, M., Giudici, G. A., Stefani, D., Zanoni, D., Boem, A., & Turchet, L. (2024) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is262782.2024.10704087 · Cited by 4 · see citing works
“The majority of IoMusT ecosystems available today have mostly focused on the use of intelligent and connected musical instruments [15], [16], smart textiles [13], and networked music performance systems [17], [18].”
BackgroundSelf-citationA web-based distributed system for integrating mobile music in choral performance
Turchet, L., & De, M. (2023) · Personal and Ubiquitous Computing · doi:10.1007/s00779-023-01709-0 · Cited by 4 · see citing works
“For instance, IoMusT research has recently developed interactions between performers that leverage the connection of smart musical instruments [24] with smartphones [25].”
BackgroundSelf-citationTurchet, L. (2024) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2024.3443540 · Cited by 4 · see citing works
“Recently, Turchet proposed a vision where smart instruments have capabilities of advanced reasoning on, learning from, and adaptation to the player’s actions and data from connected devices, which will confer them with unprecedented context-awareness and proactivity features [61].”
BackgroundMethodSelf-citationClément, A., Moreira, L., Rosa, M. H., & Bernardes, G. (2021) · Multimodal Technologies and Interaction · doi:10.3390/mti5070032 · Cited by 4 · see citing works
“Turchet, L. Smart Musical Instruments: Vision, Design Principles, and Future Directions.”
MethodRequirements for a File Format for Smart Musical Instruments
Turchet, L., & Kudumakis, P. (2019) · International Workshop on Multilayer Music Representation and Processing (MMRP) · doi:10.1109/mmrp.2019.00011 · Cited by 4 · see citing works
Self-citationPianist Identification Using Convolutional Neural Networks
Tang, J., Wiggins, G. A., & Fazekas, G. (2023) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/ieeeconf59510.2023.10335427 · Cited by 3 · see citing works
“A reliable pianist identifier holds great potential for not only studying the styles of different performers, but also various applications in music education, music information retrieval and smart musical instruments [6].”
BackgroundExplainability and Real-Time in Music Information Retrieval: Motivations and Possible Scenarios
Rossi, M., Iacca, G., & Turchet, L. (2023) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/ieeeconf59510.2023.10335217 · Cited by 3 · see citing works
“Another possibility consists of integrating the XAI system directly into the musical instrument, as it has been explored recently in the literature on smart musical instruments [33].”
BackgroundSelf-citationDiscovering Creative Commons Sounds in Live Coding
Xambó, A. (2023) · Organised Sound · doi:10.1017/s1355771823000262 · Cited by 3 · see citing works
“Smart musical instruments (SMIs), such as the smart mandolin, were defined by Luca Turchet as ‘ devices dedicated to playing music, which are equipped with embedded intelligence and are able to communicate with external devices ’ (Turchet 2018: 8948).”
Hödl, O., & Turchet, L. (2025) · IEEE Access · doi:10.1109/access.2025.3543064 · Cited by 2 · see citing works
“To date the opportunities offered by the Internet of Musical Things paradigm for creating TMAP performances has been scarcely investigated [41], but there is some recent work on TMAP and IoMusT.”
Self-citationThe Musician’s Context Ontology: Modeling the context for smart musical applications
Turchet, L., Tomelleri, J., Molinari, A., & Bouquet, P. (2025) · Journal of Web Semantics · doi:10.1016/j.websem.2025.100871 · Cited by 2 · see citing works
Self-citationRossi, M., Iacca, G., & Turchet, L. (2025) · EURASIP Journal on Audio Speech and Music Processing · doi:10.1186/s13636-025-00426-1 · Cited by 2 · see citing works
“For example, in the case of the compressor, the ratio was set within the range [1, 4], while all other parameters were pre-tuned and kept fixed.”
Self-citationFAUSTMapper: Facilitating Complex Mappings for Smart Musical Instruments.
Peachey, M., & Malloch, J. W. (2023) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/ieeeconf59510.2023.10335404 · Cited by 2 · see citing works
“Smart Musical Instruments (SMIs) are a subset of Digital Musical Instruments (DMIs) that place additional emphasis on connectivity, leveraging of sensors and embedded intelligence [17].”
BackgroundInfluentialReal-Time Musical Haptics With Ultra-Wideband: A Study on Latency, Reliability, and Perception
Turchet, L., Sassi, C., Vecchia, D., & Picco, G. P. (2025) · IEEE Transactions on Haptics · doi:10.1109/toh.2025.3525959 · Cited by 2 · see citing works
“We evaluate the others by relying on accurate measurements of proof-of-concept prototypes (§V) composed by two types of smart musical instruments [13] wirelessly connected via UWB to two types of musical haptic wearable.”
Self-citationVieira, R., & Muchaluat-Saade, D. C. (2022) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot54382.2022.10152210 · Cited by 2 · see citing works
“They are exemplified as smart musical instruments [16], wearable equipment [17], or smartphones with music apps that publish audio resources.”
BackgroundTowards Real-Time Detection of Symbolic Musical Patterns: Probabilistic vs. Deterministic Methods
Silva, N., Fischione, C., & Turchet, L. (2020) · Conference of Open Innovations Association (FRUCT) · doi:10.23919/fruct49677.2020.9211010 · Cited by 2 · see citing works
Self-citationNordin, J. (2020) · Epubl LTU · doi:10.5281/zenodo.4026501 · Cited by 2 · see citing works
Online Migration of Musical Instrument Teachers : Technology, AI, and New Professional Perspectives
Barbosa, I. (2021) · Communication technologies et développement · doi:10.4000/ctd.5015 · Cited by 2 · see citing works
Bio-Inspired Optimization of Parametric Onset Detectors
Stefani, D., & Turchet, L. (2021) · International Conference on Digital Audio Effects (DAFx) · doi:10.23919/dafx51585.2021.9768293 · Cited by 2 · see citing works
“The use of such methods is particularly relevant to some applications in the emerging field of smart musical instruments [6], which may repurpose the information extracted from the signal with imperceptible latency for the player (see, e.”
MethodSelf-citationA Brief Scoping Review of Musical Performance Support System in IEEE Study Fields
Yamaguchi, Y. (2023) · IEEE International Conference on Teaching, Assessment, and Learning for Engineering · doi:10.1109/tale56641.2023.10398299 · Cited by 3 · see citing works
Palhares, R. D. A., Filho, M. G., & Ganga, G. M. D. (2026) · Business Process Management Journal · doi:10.1108/bpmj-11-2025-1852 · Cited by 2 · see citing works
Chen, Y. (2022) · Mathematical Problems in Engineering · doi:10.1155/2022/2689233 · Cited by 1 · see citing works
The potential of high-performance computing for the Internet of Sounds
Turchet, L., Vella, F., & Fiore, S. (2023) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/ieeeconf59510.2023.10335270 · Cited by 1 · see citing works
“Smart musical instruments [6] are envisioned to generate and leverage large quantities of data to enable a whole new set of proactive services based on the retrieval of the context surrounding the instrument itself (e.g., who is the player, which music is being played, in which musical activity,…”
BackgroundSelf-citationMetaphysical instruments: prototypes for hybrid and live music-making
Trujillo-Pisanty, D., Olguin-Simon, H., Spitalier-Tron, N., Ferrari-Garcia, P., Fragoso-Terreros, J., Lobo-Barrera, A., Peña-Rios, X., Pous-Pierson, P., Toledo-Galindo, F., Torres-Cazares, J., et al. (2023) · Academia Press eBooks · doi:10.26530/9789401496476-048 · Cited by 1 · see citing works
Stefani, D., Giudici, G. A., & Turchet, L. (2024) · Audio Mostly Conference (AM) · doi:10.1145/3678299.3678325 · Cited by 1 · see citing works
“The present study is part of a larger project targeting the creation of self-contained instruments such as smart guitars [35].”
Self-citationCan you DAW it Online?: The Challenges of a Web-Based Open Source Workstation
Buffa, M., & Demont, S. (2024) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is262782.2024.10704163 · Cited by 1 · see citing works
“…of the French ANR research project DOTS, supported by IRCAM, the Web Audio API has been reimplemented to run outside the browser in devices such as Raspberry PIs [22], and we've run some WAM instruments and effects on these devices, making it possible to create smart WAM-based instruments [21].”
MethodTurchet, L., Tomelleri, J., & Ruffo, A. (2024) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is262782.2024.10704117 · Cited by 1 · see citing works
“These include smart musical instrument [2], which are self-contained instruments embedding the ability of processing music-related information and communicating wirelessly with external devices.”
BackgroundSelf-citationAudioInsight: Online Exploration of Large Audio Datasets for Musical Acoustics
Starakis, M., & Alexandraki, C. (2024) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is262782.2024.10704135 · Cited by 1 · see citing works
“Moreover, the AudioInsight may serve as an example for sound texture exploration and development of Smart Musical Instruments (SMIs) [38].”
BackgroundWang, L. (2024) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2024-3052 · Cited by 1 · see citing works
PhysioDrum: Bridging Physical and Digital Realms in Immersive Musical Interaction
Vieira, R., Muchaluat-Saade, D. C., & Cesar, P. S. (2025) · ACM International Conference on Interactive Media Experiences · doi:10.1145/3706370.3731698 · Cited by 1 · see citing works
“This application utilizes a smart musical instrument (SMI) [4], the RemixDrum [8], along with two electronic pedals as a control interface.”
User-Centered Evaluation of Smart Musical Instruments with Embedded Real-Time Pattern Detection
Silva, N., & Turchet, L. (2025) · Immersive and 3D Audio: from Architecture to Automotive (I3DA) · doi:10.1109/i3da65421.2025.11202088 · Cited by 1 · see citing works
“However, the advancement of embedded computing, wireless connectivity, and artificial intelligence has given rise to a class of Smart Musical Instruments (SMIs) [1], which represent intelligent, responsive musical platforms.”
Self-citationArtificial Intelligence Aided Analysis of Flexible Space in Landscape Environment
Liu, Q. (2021) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs51141.2021.9432290 · Cited by 1 · see citing works
“This article selects the data enhancement operation of zooming in and rotating, horizontal flipping and vertical flipping of the scene image as follows [16-18].”
BackgroundUbiquitous Music-Making Systems: A Critical Overview of Current Practices
Zhao, W. (2021) · Audio Mostly Conference (AM) · doi:10.1145/3478384.3478391 · Cited by 1 · see citing works
“Turchet and colleagues presented a system called Sensus Smart Guitar in 2016 [20].”
BackgroundReal-Time Low Power Audio Distortion Circuit Modeling: a TinyML Deep Learning Approach
Plozza, D., Giordano, M., & Magno, M. (2022) · IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) · doi:10.1109/aicas54282.2022.9870024 · Cited by 1 · see citing works
“An emerging application for low-power battery operated digital simulations is on-board audio processing on Smart Musical Instruments [1].”
BackgroundPersad, U., Howard, K., & Bisnath, J. (2020) · doi:10.47412/ovhj9183
“The field of musical instrument design has seen a progression from solely acoustic instruments to fully digital and smart instruments [1].”
BackgroundBenchmarking Networked Music Performance Tools With the NMP-Bench Model and Architecture
Gori, M., & Ceccarelli, A. (2021) · Journal of the Audio Engineering Society · doi:10.17743/jaes.2021.0023
Sound mobility: Smartphones and tablets as ubiquitous polymedia music production studios
Mccullough, C. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.244545
Bălan-Budoiu, O., Nedelcuț, A. C., & Bressolete, C. (2023) · Tehnologii informatice și de comunicație în domeniul muzical / Information and communication Technologies in Musical Field · doi:10.47809/ictmf.2023.02.05
Demo of a smart musical instrument-based real time pattern detection system
Silva, N., & Turchet, L. (2024) · Audio Mostly Conference (AM) · doi:10.1145/3678299.3678359
“Such implementations are a primary part in enabling the applications centered around the so-called smart musical instruments [9].”
Self-citationExtending Networked Mapping Research Middleware into the Browser Sandbox
Peachey, M., Smith, K., & Malloch, J. W. (2024) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is262782.2024.10704162
“Smart Musical Instruments (SMIs) [21] are one type of DMI that places significant weight on connectivity, usage of sensors, and on-board intelligence and are one of the most common things found within the IoS.”
BackgroundSpectral modelling of suona sound characteristics in Shanxi Jin opera music
Chen, G. (2024) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2024-3582
Real-time playing technique recognition embedded in a smart acoustic guitar
Stefani, D., & Turchet, L. (2025) · EURASIP Journal on Audio Speech and Music Processing · doi:10.1186/s13636-025-00413-6
“A prominent example of a musical thing in the IoMusT is that of SMIs [7], a family of interoperable musical instruments equipped with sensing and actuation capabilities, along with embedded reasoning abilities and wireless interconnecting technology.”
InfluentialSelf-citationInteractive IoMusT-Based Concerts: Real-Time Pattern Recognition and Audience Experience
Silva, N., Boem, A., & Turchet, L. (2025) · Immersive and 3D Audio: from Architecture to Automotive (I3DA) · doi:10.1109/i3da65421.2025.11202042
Self-citationInternet of Musical Things for Smart Cities
Casari, P., & Turchet, L. (2025) · doi:10.1002/9781394249879.ch10
Self-citationVieira, R., Silva, C. E. C., Trevisan, D. G., Muchaluat-Saade, D. C., & Cesar, P. S. (2025) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is264627.2025.11284614
“The PhysioDrum environment comprises a virtual drum kit accessed via a virtual reality (VR) headset, enabling immersive interaction through an smart musical instrument (SMI) [11] called RemixDrum [12], complemented by two foot pedals.”
Ronen, O., & Wanderley, M. M. (2025) · IEEE International Symposium on the Internet of Sounds (IS2) · doi:10.1109/is264627.2025.11284670
“By providing discrete haptic cues at key thresholds, performers can build a more accurate mental model of the instrument’s state and thus reduce the cognitive load that Turchet identifies as a key design consideration for SMIs [21].”
- Authors
- Turchet, L.
- Affiliations
- Queen Mary University of London (GB)
- Corresponding author
- Turchet, Luca
- ORCID
- Turchet, Luca
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 8944-8963
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2896309540
- Semantic Scholar
- 91963e22bc97cea87c8ba4a29ed6702d8ec8c300
- Cited by
- 94
- References
- 117
- Citations by year
- 2026: 1 · 2025: 13 · 2024: 19 · 2023: 18 · 2022: 6 · 2021: 14 · 2020: 13 · 2019: 7 · 2018: 3
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Iris (University of Trento) (submittedVersion, other-oa)
- Funders
- H2020 Marie Skłodowska-Curie Actions (749561)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Music Technology and Sound Studies
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
- Keywords
- Internet of Musical Things, digital musical instruments, smart objects, embedded intelligence, wireless connectivity, technical architecture, compositional process
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review