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Speech Processing I ix
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accuracy acoustic echo cancellation acoustic models algorithm allophone analysis application approach Audio baseline beam search bigram CDHMM cepstral classiﬁcation clustering codebook coder coding coefﬁcients combination components computation conﬁdence measures continuous speech corpus correlation database decision tree decoding deﬁned density echo canceller efﬁcient estimated evaluation experiments Figure ﬁlter ﬁnd ﬁrst ﬁxed frame frequency function Hidden Markov Models hypothesis ICASSP identiﬁcation improvement input language model large vocabulary lattice lexical likelihood linear masking threshold matrix MBSD method MVDR n-best n-gram node noise masking threshold obtained optimal output parameters path performance phonetic probability Proc proposed recognition system reduce samples score segment sentences sequence Signal Processing signiﬁcant Speaker Recognition speciﬁc spectrum speech recognition speech signal string subvectors syllable Table target technique temporal masking tion training data transcription transform triphones utterances vector quantization veriﬁcation word error rate word graph