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This paper deals with blind speech separation of instantaneous and convolutive mixtures of non-Gaussian sources. The separation criterion is based on higher order statistics (HOS) on the assumption that the sources are statistically independent. We propose to simplify and to improve the classical Herault-Jutten algorithm by choosing adequate high order non-linear functions for adaptation. The convolutive...
Automatic speech recognition (ASR) performs poorly when the training conditions greatly mismatch the testing conditions. Additive background noises and channel distortion are responsible mostly for these mismatches. These mismatches introduce highly non-linear terms in the acoustic model of speech in both log-spectral and the cepstral domains. Current ASR is based on simple linear approximation of...
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