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Synergistic Modalities for HumanMachine Communication
Voice Input for Collaborative Systems
Lessons Learned from Human Speech
38 other sections not shown
acoustic models algorithm alignment analysis application approach automatic speech recognition baseforms baseline beam search bigram cepstral cepstrum clustering coefficients components computed context continuous speech recognition corpus correlation corresponding database decision tree decoding derived detection dialogue system dictionary discriminative distribution domain dynamic estimation evaluation experiments feature vector Figure filtering frame frequency function Gaussian gender grammar graph Hidden Markov Models hypothesis IEEE IEEE Trans improvement input interface iteration keyword labeled language model large vocabulary lexical lexical stress likelihood LVCSR maximum likelihood method mixture modulation Multiword n-gram neural network node noise obtained optimal parameters phoneme phrase probability Proc pronunciation network proposed recognition performance recognition rate recognizer reduce sample scores segment semantic units sentence spectral spectrum speech recognition system statistical stochastic strategy subword syllable Table task techniques Technology test set training data triphones unigram utterance verification Viterbi word error rate word recognition word sequence