Speech Analysis Synthesis and Perception

Novel Analgesic Index for Postoperative Pain Assessment Based on a Photoplethysmographic Spectrogram and Convolutional Neural Network: Observational Study

Choi, B., Yim, J. Y., Shin, H., & Noh, G. (2021) · Journal of Medical Internet Research · doi:10.2196/23920 · Cited by 22

Extraction and Utilization of Excitation Information of Speech: A Review

Kadiri, S. R., Alku, P., & Yegnanarayana, B. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3126493 · Cited by 21

A low-cost platform for voice monitoring

Carullo, A., Vallan, A., & Astolfi, A. (2013) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc.2013.6555383 · Cited by 21

The influence of stop consonants’ perceptual features on the Articulation Index model

Singh, R., & Allen, J. B. (2012) · The Journal of the Acoustical Society of America · doi:10.1121/1.3682054 · Cited by 21

Single-matrix formulation of a time domain acoustic model of the vocal tract with side branches

Mokhtari, P., Takemoto, H., & Kitamura, T. (2007) · Speech Communication · doi:10.1016/j.specom.2007.08.001 · Cited by 21

On the information rate of speech communication

Kuyk, S. V., Kleijn, W. B., & Hendriks, R. C. (2017) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2017.7953233 · Cited by 21

KEY ISSUES IN THE STUDY OF PRIMATE ACOUSTIC SIGNALS.

Gamba, M., & Giacoma, C. (2005) · Institutional Research Information System University of Turin (University of Turin) · Cited by 22

Non-invasive monitoring of eating behavior using spectrogram analysis in a wearable necklace

Alshurafa, N. I., Kalantarian, H., Pourhomayoun, M., Sarin, S., Liu, J. J., & Sarrafzadeh, M. (2014) · IEEE Healthcare Innovation Conference (HIC) · doi:10.1109/hic.2014.7038877 · Cited by 21

Quality evaluation of synthesized speech

van Heuven, V. J., & van Bezooijen, R. (1995) · Leiden Repository (Leiden University) · Cited by 19

Variable Bitrate Wideband Speech Coding Using Perceptually Motivated Thresholds

Paulus, J. W. (2005) · IEEE Workshop on Speech Coding for Telecommunications · doi:10.1109/scft.1995.658114 · Cited by 21

Instantaneous and time-varying spectra—an introduction

Ackroyd, M. H. (1970) · Radio and Electronic Engineer · doi:10.1049/ree.1970.0022 · Cited by 21

Current perspectives in digital speech

Crochiere, R. E., & Flanagan, J. L. (1983) · IEEE Communications Magazine · doi:10.1109/mcom.1983.1091335 · Cited by 21

The role of lower airway resonances in defining vowel feature contrasts.

Lulich, S. M. (2006) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 21

Data-driven voice source waveform analysis and synthesis

Guðnason, J., Thomas, M. R., Ellis, D. P. W., et al. (2011) · Speech Communication · doi:10.1016/j.specom.2011.08.003 · Cited by 20

Modeling individual vocal differences in group-living lemurs using vocal tract morphology

Gamba, M., Favaro, L., Araldi, A., Matteucci, V., Giacoma, C., & Friard, O. (2017) · Current Zoology · doi:10.1093/cz/zox023 · Cited by 20

Phonetic features and physiology: a reappraisal

LIEBERMAN, P. H. (1976) · Journal of Phonetics · doi:10.1016/s0095-4470(19)31230-6 · Cited by 20

Transforming Perceived Vocal Effort and Breathiness Using Adaptive Pre-Emphasis Linear Prediction

Nordstrom, K. I., Tzanetakis, G., & Driessen, P. F. (2008) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2008.2001105 · Cited by 20

Three dimensional tongue with liquid sealing mechanism for improving resonance on an anthropomorphic talking robot

Fukui, K., Ishikawa, Y., Ohno, K., et al. (2009) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2009.5353983 · Cited by 20

Speech synthesis in telecommunications

Levinson, S., Olive, J. P., & Tschirgi, J. S. (1993) · IEEE Communications Magazine · doi:10.1109/35.256873 · Cited by 20

Audible alarm signals for anaesthesia monitoring equipment

Stanford, L. M., McIntyre, J. W. R., & Hogan, J. T. (1985) · International journal of clinical monitoring and computing · doi:10.1007/bf01720191 · Cited by 20

Development of a talking robot with vocal cords and lips having human-like biological structures

Fukui, K., Nishikawa, K., Ikeo, S., et al. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2005.1545356 · Cited by 20

A Modeling Framework for Speech Motor Development and Kinematic Articulator Control

Guenther, F. H. (1995) · Cited by 23

HMM-based Speech Synthesis Using an Acoustic Glottal Source Model

Cabral, J. P. (2011) · ERA · Cited by 20

Making accurate formant measurements: an empirical investigation of the influence of the measurement tool, analysis settings and speaker on formant measurements

Harrison, P. (2013) · UPT. Syiah Kuala University Library (Syiah Kuala University) · Cited by 20

Glottal source and vocal-tract separation

Degottex, G. (2010) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 20

Relationship between phoneme-level spectral acoustics and speech intelligibility in healthy speech: a systematic review

Pommée, T., Balaguer, M., Pinquier, J., Mauclair, J., Woisard, V., & Speyer, R. (2021) · Speech Language and Hearing · doi:10.1080/2050571x.2021.1913300 · Cited by 19

Acoustic models of orangutan hand-assisted alarm calls

de Boer, B., Wich, S. A., Hardus, M. E., et al. (2015) · Journal of Experimental Biology · doi:10.1242/jeb.110577 · Cited by 19

Speech enhancement using generalized maximum a posteriori spectral amplitude estimator

Su, Y.-C., Tsao, Y., Wu, J.-E., et al. (2013) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2013.6639114 · Cited by 19

Effects of transitory lingual nerve impairment on speech: an acoustic study of diphthong sounds

Niemi, M., Laaksonen, J., Aaltonen, O., & Happonen, R. (2003) · Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.joms.2003.06.004 · Cited by 19

Voice conversion based on piecewise linear conversion rules of formant frequency and spectrum tilt

Mizuno, H., & Abe, M. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1994.389254 · Cited by 19

The Definition and Function of Interview Structure in Psychiatric and Psychotherapeutic Interviews

Beck, S., & Perry, J. C. (2008) · Psychiatry · doi:10.1521/psyc.2008.71.1.1 · Cited by 19

Vocal-tract modeling: fractional elongation of segment lengths in a waveguide model with half-sample delays

Mathur, S., Story, B. H., & Rodriguez, J. J. (2006) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tsa.2005.858550 · Cited by 19

A comparison of three methods of extracting resonance information from predictor-coefficient coded speech

Christensen, R. L., Strong, W. J., & Palmer, E. P. (1976) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1976.1162767 · Cited by 19

On separating voiced-speech into its components

Kumaresan, R., & Ramalingam, C. S. (2002) · 2018 52nd Asilomar Conference on Signals, Systems, and Computers · doi:10.1109/acssc.1993.342411 · Cited by 19

Die Diagnostik der gest�rten Stimmfunktion

Schultz-Coulon, H.-J. (1980) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/bf00456372 · Cited by 19

A structured overview of digital communications-A tutorial review-part I

Sklar, B. (1983) · IEEE Communications Magazine · doi:10.1109/mcom.1983.1091426 · Cited by 19

MIRAI: Multi-hierarchical, FS-Tree Based Music Information Retrieval System

Raś, Z. W., Zhang, X., & Lewis, R. A. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-73451-2_10 · Cited by 19

A method to combine acoustic and morphological constraints in the speech production inverse problem

Yehia, H. C., & Itakura, F. (1996) · Speech Communication · doi:10.1016/0167-6393(95)00042-9 · Cited by 19

Real-time programmable low power SC bandpass filter

Hosticka, B. J., Herbst, D., Hoefflinger, B., et al. (1982) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.1982.1051766 · Cited by 19

Acoustic coupling in phonation and its effect on inverse filtering of oral airflow and neck surface acceleration

Salas, M. Z. (2010) · Cited by 18

Learning Neural Audio Embeddings for Grounding Semantics in Auditory Perception

Kiela, D., & Clark, S. C. (2017) · Journal of Artificial Intelligence Research · doi:10.1613/jair.5665 · Cited by 18

Estimation of the glottal source from coded telephone speech using deep neural networks

Narendra, N. P., Airaksinen, M., Story, B. H., & Alku, P. (2018) · Speech Communication · doi:10.1016/j.specom.2018.12.002 · Cited by 18

Finite element simulation of sound transmission in vocal tract.

Lu, C., Nakai, T., & Suzuki, H. (1993) · Journal of the Acoustical Society of Japan (E) · doi:10.1250/ast.14.63 · Cited by 18

Towards an investigation of speech energetics using ‘AnTon’: an animatronic model of a human tongue and vocal tract

Hofe, R., & Moore, R. K. (2008) · Connection Science · doi:10.1080/09540090802413251 · Cited by 18

Measurement and modeling techniques for directional sound radiation from the mouth

Huopaniemi, J., Kettunen, K., & Rahkonen, J. (2003) · doi:10.1109/aspaa.1999.810880 · Cited by 18

Boundary element models of the vocal tract and radiation field and their response characteristics

Kagawa, Y., Shimoyama, R., Yamabuchi, T., et al. (1992) · Journal of Sound and Vibration · doi:10.1016/0022-460x(92)90523-z · Cited by 18

A perspective on speech recognition

Levinson, S., & Roe, D. B. (1990) · IEEE Communications Magazine · doi:10.1109/35.46668 · Cited by 18

INTELLIGENT MAN-MACHINE INTERFACE

Tanaka, H., Chiba, S., Kidode, M., et al. (1982) · Elsevier eBooks · doi:10.1016/b978-0-444-86440-6.50010-4 · Cited by 18

Speech Processing in Healthcare: Can We Integrate?

Santosh, K. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-818130-0.00001-5 · Cited by 17

Simulation of Vocal Loudness Regulation with Lung Pressure, Vocal Fold Adduction, and Source-Airway Interaction

Titze, I. R. (2021) · Journal of Voice · doi:10.1016/j.jvoice.2020.11.030 · Cited by 18

Constant Q Cepstral coefficients for classification of normal vs. Pathological infant cry

Patil, H. A., Patil, A. T., & Kachhi, A. (2022) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp43922.2022.9746946 · Cited by 18

Comparison of neural networks for speaker recognition

Wouhaybi, R. H., & Al‐Alaoui, M. A. (2003) · IEEE International Conference on Electronics, Circuits and Systems (ICECS) · doi:10.1109/icecs.1999.812239 · Cited by 17

Relevance of the Implementation of Teeth in Three-Dimensional Vocal Tract Models

Traser, L., Birkholz, P., Flügge, T. V., et al. (2017) · Journal of Speech Language and Hearing Research · doi:10.1044/2017_jslhr-s-16-0395 · Cited by 17

Transform representation of the spectra of acoustic speech segments with applications. I. General approach and application to speech recognition

Algazi, V. R., Brown, K. L., Ready, M. J., et al. (1993) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.222877 · Cited by 17

PHONETICS AND PHONOLOGY IN THE LAST 50 YEARS

Fant, G. (2004) · Cited by 17

Talking with Computers: Synthesis and Recognition of Speech by Machines

Flanagen, J. L. (1982) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1982.325030 · Cited by 17

Physiologische Grundlagen einer H�rprothese

Klinke, R., & Hartmann, R. (1979) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/bf00455077 · Cited by 17

Responses to Speech Audiometry and Phonemic Discrimination Patterns in the Elderly

Stevenson, P. W. (1975) · International Journal of Audiology · doi:10.3109/00206097509071738 · Cited by 17

An orthogonal set of frequency and amplitude modulated (FAM) functions for variable resolution signal analysis

Laine, U. K., & Altosaar, T. (2002) · International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1990.115734 · Cited by 17

Development of a talking robot

Nishikawa, K., Asama, K., Hayashi, K., et al. (2002) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2000.895226 · Cited by 17

Focal Points in Speech Communication Research

Flanagan, J. L. (1971) · IEEE Transactions on Communication Technology · doi:10.1109/tcom.1971.1090772 · Cited by 17

Multimodal (im)politeness: the verbal, prosodic and non-verbal realization of disagreement in German and New Zealand English

Stadler, S. (2006) · Cited by 17

Synthesized Speech Detection Using Convolutional Transformer-Based Spectrogram Analysis

Bartusiak, E. R., & Delp, E. J. (2021) · Asilomar Conference on Signals, Systems and Computers (ACSSC) · doi:10.1109/ieeeconf53345.2021.9723142 · Cited by 20

Speech intelligibility improvement in noisy reverberant environments based on speech enhancement and inverse filtering

Dong, H.-Y., & Lee, C.-M. (2018) · EURASIP Journal on Audio Speech and Music Processing · doi:10.1186/s13636-018-0126-8 · Cited by 16

On the single-mass model of the vocal folds

Howe, M. S., & McGowan, R. S. (2010) · Fluid Dynamics Research · doi:10.1088/0169-5983/42/1/015001 · Cited by 16

Noise-Induced Hearing Loss and the Comprehension of Speech in Noise

Quist-Hanssen, S., Thorud, E., & Aasand, G. (1978) · Acta Oto-Laryngologica · doi:10.3109/00016487809123483 · Cited by 16

Vocal tract acoustics using the transmission line matrix (TLM) method

El‐Masri, S., Pelorson, X., Saguet, P., et al. (2002) · International Conference on Spoken Language Processing (ICSLP) · doi:10.1109/icslp.1996.607760 · Cited by 16

Talking Robot and the Analysis of Autonomous Voice Acquisition

Nakamura, M., & Sawada, H. (2006) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2006.282257 · Cited by 16

Algorithms and Devices for Pitch Determination of Speech Signals

Hess, W. J. (1982) · Springer eBooks · doi:10.1007/978-94-009-7879-9_3 · Cited by 16

Characterization of talker radiation pattern using a microphone array

Meuse, P. C., & Silverman, H. F. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1994.389671 · Cited by 16

Feature Generation I: Data Transformation and Dimensionality Reduction

Theodoridis, S., & Koutroumbas, K. (2009) · Pattern Recognition · doi:10.1016/b978-1-59749-272-0.50008-6 · Cited by 16

Quality of speech produced by analysis-synthesis

Childers, D. G., & Wu, K. (1990) · Speech Communication · doi:10.1016/0167-6393(90)90064-g · Cited by 16

Encoding and Decoding of Auditory Signals in Relation to Human Speech and its Application to Human Cochlear Implants

Dillier, N., Spillmann, T., Fisch, U. P., et al. (1980) · International Journal of Audiology · doi:10.3109/00206098009072657 · Cited by 16

Modal Distribution Analysis, Synthesis, and Perception of a Soprano's Sung Vowels

Mellody, M., Herseth, F., & Wakefield, G. H. (2001) · Journal of Voice · doi:10.1016/s0892-1997(01)00047-9 · Cited by 16

Inference of a knowledge source for the recognition of nasals in continuous speech

Mori, R. D., Gubrynowicz, R., & Laface, P. (1979) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1979.1163281 · Cited by 16

Formant diphone parameter extraction utilising a labelled single-speaker database

Mannell, R. H. (1998) · International Conference on Spoken Language Processing (ICSLP) · doi:10.21437/icslp.1998-36 · Cited by 16

Mechanical voice system and its singing performance

Sawada, H., Nakamura, M., & Higashimoto, T. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2004.1389678 · Cited by 16

A Scalogram-Based CNN Approach for Audio Classification in Construction Sites

Scarpiniti, M., Parisi, R., & Lee, Y.-C. (2023) · Applied Sciences · doi:10.3390/app14010090 · Cited by 16

Analysis of flow-structure coupling in a mechanical model of the vocal folds and the subglottal system

Howe, M. S., & McGowan, R. S. (2009) · Journal of Fluids and Structures · doi:10.1016/j.jfluidstructs.2009.08.002 · Cited by 15

Robust S1 and S2 heart sound recognition based on spectral restoration and multi-style training

Tsao, Y., Lin, T., Chen, F., Chang, Y.-F., Cheng, C.-H., & Tsai, K.-H. (2018) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2018.10.014 · Cited by 15

Automatic inference of complex affective states

Shikler, T. S. (2010) · Computer Speech & Language · doi:10.1016/j.csl.2009.12.005 · Cited by 15

Vocal tract area functions from two point acoustic measurements with formant frequency constraints

Milenkovic, P. (1984) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1984.1164455 · Cited by 15

Estimation of Place of Articulation During Stop Closures of Vowel–Consonant–Vowel Utterances

Pandey, P. C., & Shah, M. S. (2009) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2008.2010285 · Cited by 15

Joint source-filter optimization for robust glottal source estimation in the presence of shimmer and jitter

Ghosh, P., & Narayanan, S. S. (2010) · Speech Communication · doi:10.1016/j.specom.2010.07.004 · Cited by 15

A Survey on Automatic Speech Recognition with an Illustrative Example on Continuous Speech Recognition of Mandarin

Lee, C., & Juang, B.-H. F. (1996) · doi:10.30019/ijclclp.199608.0001 · Cited by 15

Utilization of wavelet concepts in finite elements for an efficient solution of Maxwell's equations

Sarkar, T. K., Adve, R., García-Castillo, L. E., et al. (1994) · Radio Science · doi:10.1029/94rs00975 · Cited by 15

Discrimination of vowel sounds of very short duration

Suen, C. Y., & Beddoes, M. P. (1972) · Perception & Psychophysics · doi:10.3758/bf03206282 · Cited by 15

Some aspects of dimorphism and human speech

LIEBERMAN, P. H. (1986) · Human Evolution · doi:10.1007/bf02437286 · Cited by 15

On the linearity of the relationship between the sound pressure level and the negative peak amplitude of the differentiated glottal flow in vowel production

Alku, P., Vintturi, J., & Vilkman, E. A. (1999) · Speech Communication · doi:10.1016/s0167-6393(99)00020-5 · Cited by 15

Flexible human speech recognition

Pols, L. C. W. (2002) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru.1997.659015 · Cited by 15

Aerodynamic Relationships Associated with Normal Phonation and Paralytic Dysphonia

Murry, T., & Bone, R. C. (1978) · The Laryngoscope · doi:10.1002/lary.1978.88.1.100 · Cited by 15

Privacy and Authentication: An Introduction to Cryptography

Diffie, W., & Hellman, M. E. (2022) · ACM eBooks · doi:10.1145/3549993.3550010 · Cited by 15

A cepstral method for analysis of acoustic transmission characteristics of respiratory system

Xu, J., Cheng, J., & Wu, Y. (1998) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.668757 · Cited by 15

Inverting mappings from smooth paths through Rn to paths through Rm: A technique applied to recovering articulation from acoustics

Hogden, J., Rubin, P. E., McDermott, E., Katagiri, S., & Goldstein, L. M. (2007) · Speech Communication · doi:10.1016/j.specom.2007.02.008 · Cited by 15

Computationally measurable differences between speech and song

Popowich, F. P., & Gerhard, D. (2003) · Cited by 15

Comparison of parameter sets for temporal decomposition

Dijk-Kappers, A. M. L. V. (1989) · Speech Communication · doi:10.1016/0167-6393(89)90002-2 · Cited by 15

Scalar LPC quantization based on format JND's

Ghitza, O., & Goldstein, J. L. (1986) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1986.1164907 · Cited by 15

Application of joint time-frequency analysis in mixed signal testing

Bouwman, F., Zwemstra, T., Hartanato, S., et al. (2002) · Proceedings/Proceedings - International Test Conference · doi:10.1109/test.1994.528021 · Cited by 15

Formalizing Knowledge Used in Spectrogram Reading: Acoustic and Perceptual Evidence from Stops

Lamei, L. F. (1988) · doi:10.21236/ada206826 · Cited by 15

Classification of speech under stress based on modeling of the vocal folds and vocal tract

Yao, X. L., Jitsuhiro, T., Miyajima, C., Kitaoka, N., & Takeda, K. (2013) · EURASIP Journal on Audio Speech and Music Processing · doi:10.1186/1687-4722-2013-17 · Cited by 14

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Using DataGrid Control to Realize DataBase of Querying in VB6.0

Hu, S. (2000) · Modern Computer

Study and Two Types of Typical Usage of DataGrid Web Server Control

Hai-tao, L. (2005) · Modern Computer

Achieving Parameter of DBSCAN Based on Datagrid

Xu, Q. (2010)

PACWON: A parallelizing compiler for workstations on a network

Das, D. K., & Das, P. P. (1998) · Journal of Systems Architecture · doi:10.1016/s1383-7621(97)00078-7