Speech Analysis Synthesis and Perception

Estimation of voice-onset time in continuous speech using temporal measures

Prathosh, A. P., Ramakrishnan, A. G., & Ananthapadmanabha, T. V. (2014) · The Journal of the Acoustical Society of America · doi:10.1121/1.4885768 · Cited by 14

Formant-cavity affiliation in sibilant fricatives

Toda, M., Maeda, S., & Honda, K. (2010) · Mouton eBooks · doi:10.1515/9783110226584.343 · Cited by 14

Quasi-closed phase forward-backward linear prediction analysis of speech for accurate formant detection and estimation

Gowda, D., Airaksinen, M., & Alku, P. (2017) · The Journal of the Acoustical Society of America · doi:10.1121/1.5001512 · Cited by 14

An Acoustic Examination of Pitch Variation in Soprano Singing

de Souza, G. V. S., Duarte, J. M. D. T., Viegas, F., et al. (2019) · Journal of Voice · doi:10.1016/j.jvoice.2018.12.007 · Cited by 14

Digital Representations of Speech Signals

Schafer, R. W., & Rabiner, L. R. (1990) · Elsevier eBooks · doi:10.1016/b978-0-08-051584-7.50009-7 · Cited by 14

Analysis of nasal consonants using perceptual linear prediction

Qi, Y., & Fox, R. A. (1992) · The Journal of the Acoustical Society of America · doi:10.1121/1.402451 · Cited by 14

A VLSI architecture for a universal high-speed multirate FIR digital filter with selectable power-of-two decimation/interpolation ratios

Samueli, H., & Lin, T. (1991) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1991.150697 · Cited by 14

Air sacs and vocal fold vibration: Implications for evolution of speech

de Boer, B. (2012) · Theoria et Historia Scientiarum · doi:10.12775/v10235-011-0002-5 · Cited by 14

Pattern recognition by deformable prototypes

Bremermann, H. J. (1976) · Lecture notes in mathematics · doi:10.1007/bfb0077842 · Cited by 14

The NP speech activity detection algorithm

Pencak, J., & Nelson, D. J. (2002) · International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1995.479601 · Cited by 14

Development of a New Human-like Talking Robot for Human Vocal Mimicry

Fukui, K., Nishikawa, K., Kuwae, T., et al. (2006) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2005.1570317 · Cited by 14

Autoregressive modeling for speech coding: Estimation, interpolation and quantization

Erkelens, J. S. (1996) · Research Repository (Delft University of Technology) · Cited by 14

The effect of group delay spectrum on timbre.

Banno, H., Takeda, K., & Itakura, F. (2002) · Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi · doi:10.1250/ast.23.1 · Cited by 13

Controversies in an information technology startup: A critical actor-network analysis of the entrepreneurial process

Ferratti, G. M., Neto, M. S., & Cândido, S. E. A. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101623 · Cited by 13

Sur certains aspects fonctionnels de l’audition

Risset, J. (1968) · Annals of Telecommunications · doi:10.1007/bf02996236 · Cited by 13

Representing and decomposing neural potential signals

Príncipe, J. C., & Brockmeier, A. J. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.07.023 · Cited by 13

Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system

Janson, N., & Marsden, C. J. (2017) · Scientific Reports · doi:10.1038/s41598-017-16994-y · Cited by 13

An algorithm for the automatic differentiation between the speech of normals and patients with Friedreich's ataxia based on the short-time fractal dimension

Accardo, A., & Mumolo, E. (1998) · Computers in Biology and Medicine · doi:10.1016/s0010-4825(97)00039-5 · Cited by 13

Compact Green's functions extend the acoustic theory of speech production

McGowan, R. S., & Howe, M. S. (2006) · Journal of Phonetics · doi:10.1016/j.wocn.2006.03.001 · Cited by 13

Overtone singing: Productive mechanisms and acoustic data

Klingholz, F. (1993) · Journal of Voice · doi:10.1016/s0892-1997(05)80340-6 · Cited by 13

Effects of Genioglossal Muscle Advancement on Speech: An Acoustic Study of Vowel Sounds

Vähätalo, K., Laaksonen, J., Tamminen, H., et al. (2005) · Otolaryngology · doi:10.1016/j.otohns.2004.09.091 · Cited by 13

Voicing in Contemporary Hebrew in Comparison with Other Languages

Laufer, A. (1998) · Hebrew studies · doi:10.1353/hbr.1998.0008 · Cited by 13

Speech coding using waveform matching based on LPC residual phase equalization

Honda, M. (2002) · International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1990.115576 · Cited by 13

Cross‐Language Predictors of Consonant‐Vowel Syllables

Ember, M., & Ember, C. R. (1999) · American Anthropologist · doi:10.1525/aa.1999.101.4.730 · Cited by 13

Gestural Control Of Singing Voice, A Musical Instrument

Kessous, L. (2004) · doi:10.5281/zenodo.849176 · Cited by 13

Signal Preprocessing for Speech Recognition

Колоколов, А. С. (2002) · Automation and Remote Control · doi:10.1023/a:1014714820229 · Cited by 13

The physics of the singing voice

TROUP, G. J. (1981) · Physics Reports · doi:10.1016/0370-1573(81)90180-0 · Cited by 13

System architectures for computer music

Gordon, J. W. (1985) · ACM Computing Surveys · doi:10.1145/4468.4996 · Cited by 13

Responses of single units in the cat cochlear nucleus to sinusoidal amplitude modulation of tones and noise: Linearity and relation to speech perception

Hirsch, H. R., & Gibson, M. M. (1976) · Journal of Neuroscience Research · doi:10.1002/jnr.490020502 · Cited by 13

A Hardware Realization of a Digital Formant Speech Synthesizer

Rabiner, L. R., Jackson, L. B., Schafer, R. W., et al. (1971) · IEEE Transactions on Communication Technology · doi:10.1109/tcom.1971.1090781 · Cited by 13

A Capon's time-octave representation application in room acoustics

Martin, N., Mars, J. I., Martin, J., et al. (1995) · IEEE Transactions on Signal Processing · doi:10.1109/78.403343 · Cited by 13

Audio Time-Scale Modification

Dorran, D. (2005) · Arrow - TU Dublin (Technological University Dublin) · doi:10.21427/d7dp5q · Cited by 13

Speech Data Rate Reduction Part I: Applicability of Modern Estimation Theory

Gunn, J. E., & Sage, A. P. (1973) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.1973.309760 · Cited by 13

Adaptive moving target indication in a windblown clutter environment

Goncharenko, Y. V., Farquharson, G., Gorobets, V., et al. (2014) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2014.130540 · Cited by 12

Analysis/Synthesis of Sounds Generated by Sustained Contact Between Rigid Objects

Lagrange, M., Scavone, G. P., & Depalle, P. (2010) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2009.2038670 · Cited by 12

A Talking Robot and Its Singing Performance by the Mimicry of Human Vocalization

Kitani, M., Hara, T., Hanada, H., et al. (2011) · Advances in intelligent and soft computing · doi:10.1007/978-3-642-23172-8_5 · Cited by 12

Robust speech recognition using neural networks and hidden Markov models

Cong, L., Asghar, S., & Cong, B. (2002) · International Conference on Information Technology: Coding and Computing (ITCC) · doi:10.1109/itcc.2000.844204 · Cited by 12

Aero-acoustics of silicone rubber lip reeds for alternative voice production in laryngectomees

van der Torn, M., Mahieu, H. F., & Festen, J. Μ. (2001) · The Journal of the Acoustical Society of America · doi:10.1121/1.1398053 · Cited by 12

Linear and nonlinear models of the basilar membrane motion

Nilsson, H. G., & M�ller, A. R. (1977) · Biological Cybernetics · doi:10.1007/bf00337262 · Cited by 12

Speech Production and Modelling

Bäckström, T. (2017) · Signals and communication technology · doi:10.1007/978-3-319-50204-5_2 · Cited by 12

Time-frequency speech transformation based on an elementary waveform representation

d’Alessandro, C. R. (1990) · Speech Communication · doi:10.1016/0167-6393(90)90018-5 · Cited by 12

Robust linear prediction for speech analysis

Lee, C. (2005) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1987.1169680 · Cited by 12

Determination of the vocal tract shape from the formants by analysis of the articulatory-to-acoustic nonlinearities

Charpentier, F. (1984) · Speech Communication · doi:10.1016/0167-6393(84)90025-6 · Cited by 12

A survey of digital speech processing techniques

Schafer, R. W. (1972) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1972.1162341 · Cited by 12

Theoretical Performance of Entropy-Encoded DPCM

Algazi, V. R., & DeWitte, J. T. (1982) · IEEE Transactions on Communications · doi:10.1109/tcom.1982.1095554 · Cited by 12

A new approach to very low-rate speech coding using temporal decomposition

Ghaemmaghami, S., & Deriche, M. A. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1996.540331 · Cited by 12

Algorithm for pitch extraction using zero-crossing interval sequence

Geçkinli, N. C., & Yavuz, D. (1977) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1977.1163010 · Cited by 12

Pitch, Timbre, and Hearing Theory

Plomp, R. (1968) · International Audiology · doi:10.3109/05384916809074338 · Cited by 12

Kinematic formant-to-area mapping

Schoentgen, J., & Ciocea, S. (1997) · Speech Communication · doi:10.1016/s0167-6393(97)00007-1 · Cited by 12

Machines that understand speech

Underwood, M. J. (1977) · Radio and Electronic Engineer · doi:10.1049/ree.1977.0055 · Cited by 12

METHODS AND STUDIES OF LARYNGEAL VOICE QUALITY ANALYSIS IN SPEECH PRODUCTION

Airas, M. (2008) · Aaltodoc (Aalto University) · Cited by 12

A reversible method for sound analysis adapted to bio-acoustical experiments

Dörrscheidt, G. J. (1978) · International Journal of Bio-Medical Computing · doi:10.1016/0020-7101(78)90004-1 · Cited by 12

Spectral estimation for transient waveforms

Arnold, C. R. (1970) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1970.1162114 · Cited by 12

Differential Effects of Binaural Pitch Fusion Range on the Benefits of Voice Gender Differences in a “Cocktail Party” Environment for Bimodal and Bilateral Cochlear Implant Users

Oh, Y., Srinivasan, N. K., Hartling, C. L., et al. (2022) · Ear and Hearing · doi:10.1097/aud.0000000000001283 · Cited by 11

Spectral Envelopes and Additive + Residual Analysis/Synthesis

Rodet, X., & Schwarz, D. (2007) · Springer eBooks · doi:10.1007/978-0-387-32576-7_5 · Cited by 11

Acoustic tube reconstruction from noncausal excitation

Milenkovic, P. (1987) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1987.1165271 · Cited by 11

Linear Predictive Coding and the Internet Protocol

Gray, R. M. (2010) · Cited by 11

Acoustic and neurophysiologic observations related to lingual nerve impairment

Niemi, M., Laaksonen, J., Forssell, H., Jääskeläinen, S. K., Aaltonen, O., & Happonen, R. ‐. (2009) · International Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.ijom.2009.02.023 · Cited by 11

Rayleigh Lecture 2007: Flow-surface interaction noise

Howe, M. S. (2008) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2007.12.035 · Cited by 11

GESTURAL STRATEGIES FOR SPECIFIC FILTERING PROCESSES

Arfib, D., Couturier, J.-M., & Kessous, L. (2002) · Cited by 11

Effect of the vocal tract yielding sidewall on inverse filter analysis of the glottal waveform

Milenkovic, P., & Mo, F. (1988) · Journal of Voice · doi:10.1016/s0892-1997(88)80019-5 · Cited by 11

Usual to particular phonatory situations studied with high-speed videoendoscopy

Degottex, G., Bianco, E., Rodet, X., et al. (2008) · Cited by 11

Enhanced speech activity detection for mobile telephony

Hatamian, S. (2003) · doi:10.1109/vetec.1992.245449 · Cited by 11

SPEECH CODING: RECOGNIZING WHAT WE DO NOT HEAR IN SPEECH

Atal, B. S. (1983) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1983.tb31614.x · Cited by 11

Computer analysis and transcription of performed music: A project report

Piszczalski, M., & Galler, B. A. (1979) · Computers and the Humanities · doi:10.1007/bf02395097 · Cited by 11

Mechanical construction of a human vocal system for singing voice production

Sawada, H., & Hashimoto, S. (1998) · Advanced Robotics · doi:10.1163/156855300x00016 · Cited by 11

Coding of envelope modulation in the auditory nerve and anteroventral cochlear nucleus

Wang, X., & Sachs, M. B. (1992) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1992.0074 · Cited by 11

Explicit formulae for the inverse problem for the regular Dirac operator

Daskalov, V. B., & Khristov, E. K. (2000) · Inverse Problems · doi:10.1088/0266-5611/16/1/318 · Cited by 11

Time domain harmonic matching pitch estimation using time-dependent speech modeling

Gong, Y., & Haton, J. (1987) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1987.1165056 · Cited by 11

A variable band coding scheme for speech encoding at 4.8 kb/s

Crochiere, R. E., & Sambur, M. R. (1977) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1977.1170340 · Cited by 11

Voice simulation

Yegnanarayana, B., Naik, J. M., & Childers, D. G. (1984) · Annual Meeting of the Association for Computational Linguistics (ACL) · doi:10.3115/980491.980604 · Cited by 11

Bimanuality In Alternate Musical Instruments

Kessous, L., & Arfib, D. (2003) · doi:10.5281/zenodo.1176522 · Cited by 12

Modeling and analysis of elastic tongue mechanism of talking robot for acoustic simulation

Nishikawa, K., TAKANOBU, H., Mochida, T., et al. (2004) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2003.1249182 · Cited by 11

Speech planning of an anthropomorphic talking robot for consonant sounds production

Nishikawa, K., Imai, A., Ogawara, T., et al. (2003) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2002.1014807 · Cited by 11

Some geometric and acoustic properties of the lip horn.

Badin, P., Motoki, K., Miki, N., et al. (1994) · Journal of the Acoustical Society of Japan (E) · doi:10.1250/ast.15.243 · Cited by 11

Articulatory-to-acoustic mapping for inverse problem

Sorokin, V. N., & Trushkin, A. (1996) · Speech Communication · doi:10.1016/0167-6393(96)00028-3 · Cited by 11

Frequency Scaling of Speech Signals by Transform Techniques

Malah, D., & Flanagan, J. L. (1981) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1981.tb00313.x · Cited by 11

Selective perception and recognition of vocal signals

(2010) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-374593-4.00013-9 · Cited by 12

Responsiveness of the human auditory cortex to degraded speech sounds: Reduction of amplitude resolution vs. additive noise

Miettinen, I., Alku, P., Salminen, N. H., May, P., & Tiitinen, H. (2010) · Brain Research · doi:10.1016/j.brainres.2010.10.037 · Cited by 9

Experimental study of self-oscillations of the trachea–larynx tract by laser doppler vibrometry

Buccheri, G., Lauro, E. D., Martino, S. D., et al. (2016) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/2/5/055009 · Cited by 10

The Performance of the Acoustic Voice Quality Index and Acoustic Breathiness Index in Synthesized Voices

Latoszek, B. B. V., Englert, M., Lucero, J. C., et al. (2021) · Journal of Voice · doi:10.1016/j.jvoice.2021.05.005 · Cited by 10

Perceptual cues of consonant sounds and impact of sensorineural hearing loss on speech perception

Allen, J. B., & Li, F. (2009) · Cited by 10

NUMERICAL METHOD FOR VOICE GENERATION PROBLEM BASED ON FINITE ELEMENT METHOD

Kako, T., & Touda, K. (2006) · Journal of Theoretical and Computational Acoustics · doi:10.1142/s0218396x06002779 · Cited by 10

Determining the shape of a human vocal tract from pressure measurements at the lips

Aktosun, T., Machuca, A., & Sacks, P. (2017) · Inverse Problems · doi:10.1088/1361-6420/aa882d · Cited by 10

Introduction to Physics and Psychophysics of Music

Roederer, J. G., & Josephs, J. J. (1974) · American Journal of Physics · doi:10.1119/1.1987821 · Cited by 10

Speech coding and speech recognition technologies: a review

Spanias, A., & Wu, F. (1991) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.1991.176400 · Cited by 10

Inverse problem for fricatives

Sorokin, V. N. (1994) · Speech Communication · doi:10.1016/0167-6393(94)90065-5 · Cited by 10

Eyes and Ears for Computers

Reddy, R. (1973) · Lecture notes in economics and mathematical systems · doi:10.1007/978-3-642-80749-7_1 · Cited by 10

Systems for Isolated and Connected Word Recognition

Moore, R. K. (1985) · Springer eBooks · doi:10.1007/978-3-642-82447-0_2 · Cited by 10

A two-step speech compression system with vector quantizing

Buzo, A., Gray, A., Gray, R. M., et al. (2005) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1979.1170755 · Cited by 10

A framework for the objective evaluation of vocoder speech quality

Makhoul, J., Viswanathan, R., & Russell, W. (2005) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1976.1170067 · Cited by 10

How do birds sing? sound analysis - mechanical modelling - muscular control

Elemans, C. P. H. (2004) · doi:10.18174/121610 · Cited by 10

Computer recognition of the continuant phonemes in connected english speech

Niederjohn, R. J., & Thomas, I. B. (1973) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1973.1162526 · Cited by 10

Analyses of the hidden units of the multi-layer perceptron and its application in acoustic-to-articulatory mapping

Xue, Q., Hu, Y. H., & Milenkovic, P. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1990.115977 · Cited by 10

Consideration of the Acoustic Stimulus

Pfeiffer, R. R. (1974) · Handbook of sensory physiology · doi:10.1007/978-3-642-65829-7_2 · Cited by 10

Semantic analysis of speech quality in mobile communications: descriptive language development and mapping to acceptability

Mattila, V.-V. (2003) · Food Quality and Preference · doi:10.1016/s0950-3293(03)00005-3 · Cited by 9

Automatic glottal inverse filtering with the Markov chain Monte Carlo method

Auvinen, H., Raitio, T., Airaksinen, M., et al. (2013) · Computer Speech & Language · doi:10.1016/j.csl.2013.09.004 · Cited by 9

The Analysis and Representation of Speech

Avendaño, C., Li, D., Hynek Hermansky, B., & Gold, B. (2006) · Springer eBooks · doi:10.1007/0-387-21575-1_2 · Cited by 9

Nonlinear interactive source-filter models for speech

Koç, T., & Çiloğlu, T. (2014) · Computer Speech & Language · doi:10.1016/j.csl.2014.12.002 · Cited by 9

Inverse scattering for vowel articulation with frequency-domain data

Aktosun, T. (2005) · Inverse Problems · doi:10.1088/0266-5611/21/3/007 · Cited by 9

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