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DSP in the SILAGE Language
Salim Roukos IBM USA
Low Residual Noise Speech Enhancement Utilizing
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acoustic adaptation addition algorithm analysis applications approach automatic average better bits cepstral channel classifier clustering codebook coding coefficients collection combination compared components computed consists continuous corpus database decision dependent described determined developed digit distance distribution duration effect energy English error error rate estimate evaluation experiments feature Figure filter frame frequency function given identification IEEE improve included increase independent initial input iterations label language likelihood linear Markov mean measure method models noise observation obtained optimal output parameters pattern performance phoneme prediction presented probability problem Proc Processing proposed quantization recognizer reference represented Research samples score segment selected sentences sequence shown shows signal Signal Processing similar speaker spectral speech recognition standard statistics structure Table task technique telephone tion training data transition units University utterances values vector verification voiced weights