Investigation and Evaluation of Voice Stress Analysis Technology
暂无分享,去创建一个
[1] John H. L. Hansen,et al. Speech under stress conditions: overview of the effect on speech production and on system performance , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[2] Jean-Claude Junqua,et al. The Lombard effect: a reflex to better communicate with others in noise , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[3] David L. Thomson,et al. Use of periodicity and jitter as speech recognition features , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[4] John H. L. Hansen,et al. Classification of speech under stress based on features derived from the nonlinear Teager energy operator , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[5] John H. L. Hansen,et al. Linear and nonlinear speech feature analysis for stress classification , 1998, ICSLP.
[6] John H. L. Hansen,et al. Getting started with SUSAS: a speech under simulated and actual stress database , 1997, EUROSPEECH.
[7] Frederick Jelinek,et al. Statistical methods for speech recognition , 1997 .
[8] Jean-Claude Junqua,et al. The influence of acoustics on speech production: A noise-induced stress phenomenon known as the Lombard reflex , 1996, Speech Commun..
[9] Chris Baber,et al. Towards a definition and working model of stress and its effects on speech , 1996, Speech Commun..
[10] John L. Arnott,et al. Emotional stress in synthetic speech: Progress and future directions , 1996, Speech Commun..
[11] Stanley Fisher,et al. Speech during sustained operations , 1996, Speech Commun..
[12] John H. L. Hansen,et al. Classification of speech under stress using target driven features , 1996, Speech Commun..
[13] Jan Noyes,et al. Workload and the use of automatic speech recognition: The effects of time and resource demands , 1996, Speech Commun..
[14] John H. L. Hansen,et al. Analysis and compensation of speech under stress and noise for environmental robustness in speech recognition , 1996, Speech Commun..
[15] Bernard Harmegnies,et al. Time- and spectrum-related variabilities in stressed speech under laboratory and real conditions , 1996, Speech Commun..
[16] Xue Wang,et al. Analysis of context-dependent segmental duration for automatic speech recognition , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.
[17] John H. L. Hansen,et al. Feature analysis and neural network-based classification of speech under stress , 1996, IEEE Trans. Speech Audio Process..
[18] W. Sweet,et al. The glass cockpit [flight deck automation] , 1995 .
[19] Victor L. Cestaro. A Comparison Between Decision Accuracy Rates Obtained Using the Polygraph Instrument and the Computer Voice Stress Analyzer (CVSA) in the Absence of Jeopardy. , 1995 .
[20] John H. L. Hansen,et al. ICARUS: Source generator based real-time recognition of speech in noisy stressful and Lombard effect environments , 1995, Speech Commun..
[21] Yifan Gong,et al. Speech recognition in noisy environments: A survey , 1995, Speech Commun..
[22] Jonathan Ashmore. Fundamentals of Hearing, 3rd edition. By William A. Yost. Pp. 326. Harcourt Brace, 1994. £31.00 hardback. ISBN 0 12 772690 X , 1994 .
[23] John H. L. Hansen,et al. Morphological constrained feature enhancement with adaptive cepstral compensation (MCE-ACC) for speech recognition in noise and Lombard effect , 1994, IEEE Trans. Speech Audio Process..
[24] John H. L. Hansen,et al. Nonlinear speech analysis using the teager energy operator with application to speech classification under stress , 1994, ICSLP.
[25] Julia Hirschberg,et al. Segmental effects on timing and height of pitch contours , 1994, ICSLP.
[26] D Cairns,et al. NONLINEAR ANALYSIS AND DETECTION OF SPEECH UNDER STRESSED CONDITIONS , 1994 .
[27] Nick Campbell,et al. The role of F0 and duration in signalling affect in Japanese: anger, kindness and Politeness , 1994, ICSLP.
[28] Petros Maragos,et al. Energy separation in signal modulations with application to speech analysis , 1993, IEEE Trans. Signal Process..
[29] D B Pisoni,et al. Effects of cognitive workload on speech production: acoustic analyses and perceptual consequences. , 1993, The Journal of the Acoustical Society of America.
[30] John H. L. Hansen,et al. Adaptive source generator compensation and enhancement for speech recognition in noisy stressful environments , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[31] James F. Kaiser,et al. Some useful properties of Teager's energy operators , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[32] Petros Maragos,et al. On amplitude and frequency demodulation using energy operators , 1993, IEEE Trans. Signal Process..
[33] John H. L. Hansen,et al. Discrete-Time Processing of Speech Signals , 1993 .
[34] J C Junqua,et al. The Lombard reflex and its role on human listeners and automatic speech recognizers. , 1993, The Journal of the Acoustical Society of America.
[35] Biing-Hwang Juang,et al. Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.
[36] Raymond D. Kent,et al. Intelligibility in speech disorders : theory, measurement, and management , 1992 .
[37] Zinny S. Bond,et al. A note on loud and lombard speech , 1990, ICSLP.
[38] Brian Hanson,et al. Robust speaker-independent word recognition using static, dynamic and acceleration features: experiments with Lombard and noisy speech , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[39] J. F. Kaiser,et al. On a simple algorithm to calculate the 'energy' of a signal , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[40] John H. L. Hansen,et al. Lombard effect compensation for robust automatic speech recognition in noise , 1990, ICSLP.
[41] John H. L. Hansen,et al. Evaluation of acoustic correlates of speech under stress for robust speech recognition , 1989, Proceedings of the Fifteenth Annual Northeast Bioengineering Conference.
[42] B. J. Stanton,et al. Robust recognition of loud and Lombard speech in the fighter cockpit environment , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[43] Hiroshi Itoyama,et al. Speech coding and speech synthesis system , 1988 .
[44] B. J. Stanton,et al. Acoustic-phonetic analysis of loud and Lombard speech in simulated cockpit conditions , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[45] Yeunung Chen,et al. Cepstral domain talker stress compensation for robust speech recognition , 1988, IEEE Trans. Acoust. Speech Signal Process..
[46] John H. L. Hansen,et al. Analysis and compensation of stressed and noisy speech with application to robust automatic recognition , 1988 .
[47] John H. L. Hansen,et al. Evaluation of speech under stress and emotional conditions , 1987 .
[48] D. Folds. Response organization and time-sharing in dual-task performance , 1987 .
[49] Dennis J. Folds,et al. Enhancement of Human Performance in Manual Target Acquisition and Tracking , 1987 .
[50] E. A. Martin,et al. Multi-style training for robust isolated-word speech recognition , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[51] Richard P. Lippmann,et al. Two-stage discriminant analysis for improved isolated-word recognition , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[52] C. A. Simpson. Speech variability effects on recognition accuracy associated with concurrent task performance by pilots , 1986 .
[53] R. Lippmann,et al. Multi‐style training for robust speech recognition under stress , 1986 .
[54] George R. Doddington,et al. Recognition of speech under stress and in noise , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[55] Stephen E. Levinson,et al. Continuously variable duration hidden Markov models for automatic speech recognition , 1986 .
[56] David B. Pisoni,et al. Some acoustic-phonetic correlates of speech produced in noise , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[57] L. Streeter,et al. Acoustic and perceptual indicators of emotional stress. , 1983, The Journal of the Acoustical Society of America.
[58] Wolfgang Hess,et al. Pitch Determination of Speech Signals , 1983 .
[59] Gary K. Poock,et al. Effect of task duration on voice recognition system performance , 1981 .
[60] T Shipp,et al. Current evidence for the existence of laryngeal macrotremor and microtremor. , 1981, Journal of forensic sciences.
[61] H. Teager. Some observations on oral air flow during phonation , 1980 .
[62] Stan Davis,et al. Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Se , 1980 .
[63] D. H. Vandercar,et al. A description and analysis of the operation and validity of the psychological stress evaluator. , 1980, Journal of forensic sciences.
[64] J B Peckham. A device for tracking the fundamental frequency of speech and its application in the assessment of strain in pilots and air traffic controllers , 1979 .
[65] Henry R. Jex. A Proposed Set of Standardized Sub-Critical Tasks for Tracking Workload Calibration , 1979 .
[66] F Horvath. An experimental comparison of the psychological stress evaluator and the galvanic skin response in detection of deception. , 1978, The Journal of applied psychology.
[67] Harry Hollien,et al. Speaker identification by long‐term spectra under normal and distorted speech conditions , 1977 .
[68] N. Umeda. Consonant duration in American English , 1977 .
[69] Simonov Pv,et al. Analysis of the human voice as a method of controlling emotional state: achievements and goals. , 1977 .
[70] M V Frolov,et al. Analysis of the human voice as a method of controlling emotional state: achievements and goals. , 1977, Aviation, space, and environmental medicine.
[71] O Fujiwara,et al. Method for determining pilot stress through analysis of voice communication. , 1976, Aviation, space, and environmental medicine.
[72] D. Klatt. Linguistic uses of segmental duration in English: acoustic and perceptual evidence. , 1976, The Journal of the Acoustical Society of America.
[73] N. Umeda. Vowel duration in American English. , 1975, The Journal of the Acoustical Society of America.
[74] Harry Hollien,et al. Perceptual identification of voices under normal, stress, and disguised speaking conditions , 1974 .
[75] D. Klatt. Letter: Interaction between two factors that influence vowel duration. , 1973, The Journal of the Acoustical Society of America.
[76] K. Stevens,et al. Emotions and speech: some acoustical correlates. , 1972, The Journal of the Acoustical Society of America.
[77] T. P. Barnwell,et al. An algorithm for segment durations in a reading machine context , 1971 .
[78] M. Gardner. Effect of Noise, System Gain, and Assigned Task on Talking Levels in Loudspeaker Communication , 1966 .
[79] C N HANLEY,et al. QUANTIFYING THE LOMBARD EFFECT. , 1965, The Journal of speech and hearing disorders.
[80] Sheldon B. Michaels,et al. Some Aspects of Fundamental Frequency and Envelope Amplitude as Related to the Emotional Content of Speech , 1962 .
[81] C. Douglas Creelman,et al. Human Discrimination of Auditory Duration , 1962 .
[82] A. House. On Vowel Duration in English , 1961 .
[83] D. Fry. Duration and Intensity as Physical Correlates of Linguistic Stress , 1954 .