A flat direct model for speech recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 3861-3864

  Heigold, G ^a   Zweig, G ^b   Li, X ^b   Nguyen, P ^b  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Language model; Maximum entropy; Nearest neighbor; Speech recognition; Voice search

Indexed keywords

CELL PHONE; CONVENTIONAL MODELING; DIRECT MODEL; KNOWLEDGE SOURCES; LANGUAGE MODEL; LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; MAXIMUM ENTROPY; NEAREST NEIGHBOR; SEQUENTIAL DATA; VOICE SEARCH; WEB-BASED INFORMATION;

ACOUSTICS; COMPUTATIONAL LINGUISTICS; CONTINUOUS SPEECH RECOGNITION; HIDDEN MARKOV MODELS; SIGNAL PROCESSING;

CHARACTER RECOGNITION;

EID: 70349208656     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960470     Document Type: Conference Paper

References (9)

1. A. Acero, N. Bernstein, R. Chambers, Y.C. Ju, X. Li, J. Odell, P. Nguyen, O. Scholz, and G. Zweig, "Live search for mobile: Web services by voice on the cellphone," in ICASSP, 2008.
2. S. Axelrod and B. Maison, "Combination of hidden Markov models with dynamic time warping for speech recognition," in ICASSP, 2004.
3. C. Ma and C.-H. Lee, "A study on word detector design and knowledge-based pruning and rescoring," in Interspeech, 2007.
4. R. Rosenfeld, "A maximum entropy approach to adaptive statistical language modeling," Computer, Speech and Language, vol. 10, pp. 187-228, 1996.
5. B. Roark, M. Saraclar, M. Collins, and M. Johnson, "Discriminative language modeling with conditional random fields and the perceptron algorithm," in ACL, 2004.
6. X. Li, Y.-C. Ju, G. Zweig, and A. Acero, "Language modeling for voice search: a machine translation approach," in ICASSP, 2008.
7. A. Gunawardana, M. Mahajan, A. Acero, and J.C. Platt, "Hidden conditional random fields for phone classification," in ICASSP, 2008.
8. M. Riedmiller and H. Braun, "A direct adaptive method for faster backpropagation learning: The Rprop algorithm," in Proc. of the IEEE Int. Conf. on Neural Networks, 1993.
9. M. De Wachter, M. Matton, K. Demuynck, P. Wambacq, R. Cools, and D. Van Compernolle, "Template-based continuous speech recognition," IEEE Trans. on Audio, Speech, and Language Processing, vol. 15, no. 4, pp. 1377-1390, 2007.