Recognition of Noisy Speech Using Dynamic Spectral Subband Centroids
نویسندگان
چکیده
منابع مشابه
Speaker Verification with Adaptive Spectral Subband Centroids
Spectral subband centroids (SSC) have been used as an additional feature to cepstral coefficients in speech and speaker recognition. SSCs are computed as the centroid frequencies of subbands and they capture the dominant frequencies of the short-term spectrum. In the baseline SSC method, the subband filters are pre-specified. To allow better adaptation to formant movements and other dynamic phe...
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Cepstral coefficients derived either through linear prediction (LP) analysis or from filter bank are perhaps the most commonly used features in currently available speech recognition systems. In this paper, we propose spectral subband centroids as new features and use them as supplement to cepstral features for speech recognition. We show that these features have properties similar to formant f...
متن کاملSubband-Based Blind Signal Separation for Noisy Speech Recognition
Hyung-Min Park , Ho-Young Jung , Te-Won Lee , and Soo-Young Lee Department of Electrical Engineering and Brain Science Research Center, Korea Advanced Institute of Science and Technology, 373-1, Kusong-dong, Yusong-gu, Taejon, 305-701, Korea (TEL: +82-42-869-8031, FAX: +82-42-869-8570, E-mail: [email protected]) Computational Neurobiology Laboratory The Salk Institute 10010 N. Torrey Pines...
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Cochlear Implants (CIs) have long been used to partially restore hearing in profoundly deaf individuals through direct electrical stimulation of the auditory nerve. Changes in pitch due to electrode selection have been shown to conform to the tonotopic organisation of the cochlea; i.e., each electrode corresponds to a localised band of the human hearing spectrum. Studies have shown that it may ...
متن کاملSpectral Subband Centroids as Complementary Features for Speaker Authentication
Most conventional features used in speaker authentication are based on estimation of spectral envelopes in one way or another, e.g., Mel-scale Filterbank Cepstrum Coefficients (MFCCs), Linear-scale Filterbank Cepstrum Coefficients (LFCCs) and Relative Spectral Perceptual Linear Prediction (RASTA-PLP). In this study, Spectral Subband Centroids (SSCs) are examined. These features are the centroid...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2004
ISSN: 1070-9908
DOI: 10.1109/lsp.2003.821689