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A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition

. Proceedings of IEEE, 77, IEEE, (February 1988)

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On the use of bandpass liftering in speech recognition., , and . IEEE Trans. Acoust. Speech Signal Process., 35 (7): 947-954 (1987)High performance connected digit recognition using hidden Markov models., , and . IEEE Trans. Acoust. Speech Signal Process., 37 (8): 1214-1225 (1989)Speaker trained recognition of large vocabularies of isolated words., , and . ICASSP, page 2018-2021. IEEE, (1982)A preliminary study on the use of demisyllables in automatic speech recognition., , , and . ICASSP, page 967-970. IEEE, (1981)On the design of all-pass signals with peak amplitude constraints., and . Bell Syst. Tech. J., 55 (4): 395-407 (1976)On the applications of multimedia processing to communications., , , , and . Proc. IEEE, 86 (5): 755-824 (1998)Large Margin - Minimum Classification Error Using Sum of Shifted Sigmoids as the Loss Function., , and . INTERSPEECH, page 1729-1732. ISCA, (2011)Improved acoustic modeling for speaker independent large vocabulary continuous speech recognition., , , , and . ICASSP, page 161-164. IEEE Computer Society, (1991)Complexity reduction in a large vocabulary speech recognizer., , , and . ICASSP, page 729-732. IEEE Computer Society, (1991)High performance connected digit recognition, using hidden Markov models., , and . ICASSP, page 119-122. IEEE, (1988)