Results 261 to 270 of about 392,381 (314)
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Journal of Speech, Language, and Hearing Research, 1992
Performance characteristics are reviewed for seven systems marketed for acoustic speech analysis: CSpeech, CSRE, ILS-PC, Kay Elemetrics model 5500 Sona-Graph, MacSpeech Lab II, MSL, and Signalyze. The characteristics reviewed include system components, basic capabilities (signal acquisition, waveform operations, analysis, and other functions ...
C, Read, E H, Buder, R D, Kent
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Performance characteristics are reviewed for seven systems marketed for acoustic speech analysis: CSpeech, CSRE, ILS-PC, Kay Elemetrics model 5500 Sona-Graph, MacSpeech Lab II, MSL, and Signalyze. The characteristics reviewed include system components, basic capabilities (signal acquisition, waveform operations, analysis, and other functions ...
C, Read, E H, Buder, R D, Kent
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Journal of Speech, Language, and Hearing Research, 1990
Recently developed, relatively inexpensive systems make digital speech analysis available to many teachers, clinicians, and researchers who have not had access to previous systems. Addressing these prospective users, we survey five microcomputer programs and two dedicated devices for recording, editing, and analyzing speech. We review the capabilities,
C, Read, E H, Buder, R D, Kent
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Recently developed, relatively inexpensive systems make digital speech analysis available to many teachers, clinicians, and researchers who have not had access to previous systems. Addressing these prospective users, we survey five microcomputer programs and two dedicated devices for recording, editing, and analyzing speech. We review the capabilities,
C, Read, E H, Buder, R D, Kent
openaire +2 more sources
A robust speech analysis in speech recognition
WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000, 2002This report presents an adaptive speech analysis method specially used for a speech recognition system. The designed speech recognition system consists of an adaptive speech analysis, a self-organized clustering/pseudo-labeling method and a DTW. All methods are redesigned in fully parallel and pipelined mechanism.
Y. Miyanaga, S. Gozen, N. Ohtsuki
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Applications of Speech Analysis in Psychiatry
Harvard Review of Psychiatry, 2023Abstract The need for objective measurement in psychiatry has stimulated interest in alternative indicators of the presence and severity of illness. Speech may offer a source of information that bridges the subjective and objective in the assessment of mental disorders.
Katerina, Dikaios +5 more
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Analysis and recognition of whispered speech
Speech Communication, 2005Abstract In this study, we have examined the acoustic characteristics of whispered speech and addressed some of the issues involved in recognition of whispered speech used for communication over a mobile phone in a noisy environment. The acoustic analysis shows that there is an upward shift of formant frequencies of vowels as observed in the ...
Taisuke Ito +2 more
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Scale transform in speech analysis
IEEE Transactions on Speech and Audio Processing, 1999In this paper, we study the scale transform of the spectral-envelope of speech utterances by different speakers. This study is motivated by the hypothesis that the formant frequencies between different speakers are approximately related by a scaling constant for a given vowel.
Srinivasan Umesh +3 more
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Acoustic analysis of friendly speech
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004To provide acoustic information of affective speech for computer modelling, this study conducted an investigation on the friendly Mandarin Chinese speech. Based on the perceptually classified friendly and neutral speech data, spectral, tonal and durational analyses were conducted at different phonetic levels.
Fangxin Chen +4 more
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An adaptive speech analysis system
ICASSP '76. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005The process of speech production is approximated by an autoregressive moving-average process described by a state equation and an observation equation. The state transition matrix that characterizes the autoregressive part is determined to minimize the mean squared error in the estimation of the speech waveform by Kalman filtering.
Hiroyoshi Morikawa, Hiroya Fujisaki
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EEG Analysis of Imagined Speech
International Journal of Rough Sets and Data Analysis, 2016Scalp electroencephalogram (EEG) is one of the most commonly used methods to acquire EEG data for brain-computer interfaces (BCIs). Worldwide a large number of people suffer from disabilities which impair normal communication. Communication BCIs are an excellent tool which helps the affected patients communicate with others.
Sadaf Iqbal +3 more
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Method for speech analysis and speech recognition
The Journal of the Acoustical Society of America, 1990A method of speech analysis calculates one or more difference parameters for each of a sequence of acoustic frames, where each difference parameter is a function of the difference between an acoustic parameter in one frame and an acoustic parameter in a nearby frame.
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