Pronunciation and silence probability modeling for ASR

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn 2015-January, Issue , 2015, Pages 533-537

  Chen, Guoguo ^a   Xu, Hainan ^a   Wu, Minhua ^a   Povey, Daniel ^a   Khudanpur, Sanjeev ^a  

^a Johns Hopkins University   (United States)

Author keywords

Automatic speech recognition; Pronunciation probability; Silence probability

Indexed keywords

PROBABILITY; SPEECH; SPEECH COMMUNICATION; TRANSDUCERS;

AUTOMATIC SPEECH RECOGNITION; FINITE STATE TRANSDUCERS; PROBABILITY MODELING; TRAINING DATA;

SPEECH RECOGNITION;

EID: 84959101589     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. S. Greenberg, J. Hollenback, and D. Ellis, "Insights into spoken language gleaned from phonetic transcription of the switchboard corpus, " in Proceedings of the International Conference on Spoken Language Processing, Philadelphia, PA, 1996.
2. M. D. Riley and A. Ljolje, "Automatic generation of detailed pronunciation lexicons, " in Automatic Speech and Speaker Recognition, C.-H. Lee, F. Soong, and K. Paliwal, Eds. Kluwer Academic Publishers, 1996, pp. 285-301.
3. T. Hain, "Implicit modelling of pronunciation variation in automatic speech recognition, " Speech Communication, vol. 46, no. 2, pp. 171-188, 2005.
4. T. Slobada and A. Waibel, "Dictionary learning for spontaneous speech recognition, " in Proceedings of Fourth International Conference on Spoken Language Processing (ICSLP), vol. 4. IEEE, 1996, pp. 2328-2331.
5. E. Giachin, A. Rosenberg, and C.-H. Lee, "Word juncture modeling using phonological rules for HMM-based continuous speech recognition, " in Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 1990, pp. 737-740.
6. G. Tajchman, E. Foster, and D. Jurafsky, "Building multiple pronunciation models for novel words using exploratory computational phonology, " in Proceedings of EUROSPEECH, 1995.
7. E. Fosler, M. Weintraub, S. Wegmann, Y.-H. Kao, S. Khudanpur, C. Galles, and M. Saraclar, "Automatic learning of word pronunciation from data, " in Proceedings of the International Conference on Spoken Language Processing, 1996.
8. B. Byrne, M. Finke, S. Khudanpur, J. McDonough, H. Nock, M. Riley, M. Saraclar, C. Wooters, and G. Zavaliagkos, "Pronunciation modelling for conversational speech recognition: A status report from WS97, " in Proceedings of the Automatic Speech Recognition & Understanding (ASRU) Workshop. IEEE, 1997, pp. 26-33.
9. B. Peskin, M. Newman, D. McAllaster, V. Nagesha, H. Richards, S. Wegmann, M. Hunt, and L. Gillick, "Improvements in recognition of conversational telephone speech, " in Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 1. IEEE, 1999, pp. 53-56.
10. T. Hain, P. Woodland, G. Evermann, and D. Povey, "The CUHTK march 2000 Hub5e transcription system, " in Proceedings of Speech Transcription Workshop, vol. 1, 2000.
11. M. Finke and A. Waibel, "Speaking mode dependent pronunciation modeling in large vocabulary conversational speech recognition, " in Proceedings of EUROSPEECH, 1997.
12. M. Saraclar, H. Nock, and S. Khudanpur, "Pronunciation modeling by sharing Gaussian densities across phonetic models, " Computer Speech & Language, vol. 14, no. 2, pp. 137-160, 2000.
13. M. Saraclar and S. Khudanpur, "Pronunciation ambiguity vs. pronunciation variability in speech recognition, " in Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 3. IEEE, 2000, pp. 1679-1682.
14. M. Finke, J. Fritsch, D. Koll, and A. Waibel, "Modeling and efficient decoding of large vocabulary conversational speech. " in Proceedings of Eurospeech, 1999.
15. K. Livescu and J. Glass, "Feature-based pronunciation modeling for speech recognition, " in Proceedings of HLT-NAACL: Short Papers. Association for Computational Linguistics, 2004, pp. 81-84.
16. M. Mohri, F. Pereira, and M. Riley, "Speech recognition with weighted finite-state transducers, " in Springer Handbook of Speech Processing. Springer, 2008, pp. 559-584.
17. D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlícek, Y. Qian, P. Schwarz et al., "The kaldi speech recognition toolkit, " in Proceedings of the Automatic Speech Recognition & Understanding (ASRU) Workshop, 2011.
18. V. Peddinti, D. Povey, and S. Khudanpur, "A time delay neural network architecture for efficient modeling of long temporal contexts, " in Proceedings of INTERSPEECH. ISCA, 2015.
19. V. Peddinti, G. Chen, D. Povey, and S. Khudanpur, "Reverberation robust acoustic modeling using i-vectors with time delay neural networks, " in Proceedings of INTERSPEECH. ISCA, 2015.
20. D. B. Paul and J. M. Baker, "The design for the Wall Street Journal-based CSR corpus, " in Proceedings of the workshop on Speech and Natural Language. Association for Computational Linguistics, 1992, pp. 357-362.
21. J. J. Godfrey, E. C. Holliman, and J. McDaniel, "SWITCHBOARD: Telephone speech corpus for research and development, " in Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 1. IEEE, 1992, pp. 517-520.
22. A. Rousseau, P. Deléglise, and Y. Estève, "TED-LIUM: An automatic speech recognition dedicated corpus. " in Proceedings of LREC, 2012, pp. 125-129.
23. V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, "Librispeech: An ASR corpus based on public domain audio books, " in Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015.