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Brancusi Neoplasticism and the Art of Designing SpeechRecognition Applications
Adaptive Training for Robust ASR
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accuracy acoustic models algorithm alignment application approach audio automatic Automatic Speech Recognition baseline beam search bigram cepstral cepstrum classiﬁer clustering coefﬁcients components computed conﬁdence context CORBA database decision tree decoding deﬁned dialog digit domain estimate evaluation experiments feature extraction feature vector ﬁller ﬁlter ﬁnal ﬁnd ﬁnite-state ﬁrst frame frequency Gaussian grammar Hidden Markov Models hypotheses ICASSP identiﬁcation IEEE improvement input interface iteration language model large vocabulary leaming lexical lexicon likelihood machine translation method MFCC N-best n-gram node noise noisy optimal output parameters perfonnance performance phoneme probability Proc pronunciation proposed query recognizer reduce retrieval robust score segmentation semantic sentence sequence shows speaker speciﬁc spectral speech recognition system speech translation statistical stochastic string Table task techniques test set tion TOEIC training corpus training data training set transcription transducer transform translation system utterances VERBMOBIL word error rate