Boosting HMM acoustic models in large vocabulary speech recognition-Reference-Cited by-同舟云学术

Boosting HMM acoustic models in large vocabulary speech recognition

Published:2006-05 Issue:5 Volume:48 Page:532-548
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Meyer Carsten,Schramm Hauke

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference34 articles.

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2. Aubert, X., Blasig, R., 2000. Combined acoustic and linguistic look-ahead for one-pass time-synchronous decoding. In: Proc. Internat. Conf. on Spoken Language Processing (ICSLP-00), Vol. 3, Beijing, China, pp. 802–805.

3. Bahl, L.R., Brown, P.F., de Souza, P.V., Mercer, R.L., 1986. Maximum mutual information estimation of hidden Markov model parameters for speech recognition. In: Proc. Internat. Conf. on Acoustics, Speech and Signal Processing (ICASSP-86), Tokyo, pp. 49–52.

4. Beyerlein, P., Aubert, X., Harris, M., Meyer, C., Schramm, H., 2001. Investigations on conversational speech recognition. In: Proc. EUROSPEECH-01, Aalborg, Denmark, pp. 499–503.

5. Large vocabulary continuous speech recognition of broadcast news—The Philips/RWTH approach;Beyerlein;Speech Commun.,2002

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