Pronunciation change in conversational speech and its implications for automatic speech recognition

Computer Speech and Language

Volumn 18, Issue 4, 2004, Pages 375-395

  Saraçlar, Murat ^a   Khudanpur, Sanjeev ^b  

^a AT AND T LABS RESEARCH   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; ACOUSTICS; FEATURE EXTRACTION; GLOSSARIES; SPEECH SYNTHESIS;

AUTOMATIC SPEECH RECOGNITION (ASR); CONVERSATIONAL SPEECH; PHONETIC INVENTORY; PRONUNCIATION;

SPEECH ANALYSIS;

EID: 4544318800     PISSN: 08852308     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csl.2003.09.005     Document Type: Article

References (16)

1. Finke, M., Waibel, A., 1997. Speaking mode dependent pronunciation modeling in large vocabulary conversational speech recognition. In: Proceedings of the European Conference on Speech Communication and Technology. Rhodes, Greece, pp. 2379-2382.
2. Fosler-Lussier, E., Williams G., 1999. Not just what, but also when: Guided automatic Pronunciation Modeling for Broadcast News. In: DARPA Broadcast News Workshop. Herndon, Virginia, pp. 171-174.
3. Godfrey, J., Holliman, E.C., McDaniel, J., 1992. Switchboard: telephone speech corpus for research and development. In: Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing. San Francisco, CA, pp. 517-520.
4. Greenberg, S., 1998. Speaking in Shorthand - A syllable centric perspective for understanding pronunciation variation. In: Proceedings of the ESCA Workshop on Modeling Pronunciation Variation for Automatic Speech Recognition. Kekrade, Netherlands.
5. Hain, T., Woodland, P., 1999. Dynamic HMM selection for continuous speech recognition. In: Proceedings of the European Conference on Speech Communication and Technology. Budapest, Hungary, pp. 1327-1330.
6. Hain, T., 2002. Implicit Pronunciation Modeling in ASR. In: Proceedings of the ISCA Tutorial and Research Workshop on Pronunciation Modeling and Lexical Adaptation for Spoken Language. Estes Park, CO.
7. Jurafsky, D. et al., 2001. What kind of pronunciation variation is hard for triphones to model? In: Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing. Salt Lake City, UT, pp. 577-580.
8. Kam, P., Lee, T., Soong, F., 2003. Modeling Cantonese pronunciation variation by acoustic model refinement. In: Proceedings of the European Conference on Speech Communication and Technology. Geneva, Switzerland, pp. 1477-1480.
9. Ma, K., Zavaliagkos, G., Iyer, R., 1998. Pronunciation modeling for large vocabulary conversational speech recognition. In: Proceedings of the International Conference on Spoken Language Processing, Sydney, Australia, pp. 2455-2458.
10. Mohri M., Pereira F., Riley M. The design principles of a weighted finite state transducer library. Theoretical Computer Science. 231:2000;17-32.
11. Pallett, D., Fisher, W., Fiscus, J., 1990. Tools for the analysis of benchmark speech recognition tests. In: Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing. Albuquerque, NM, pp. 97-100.
12. Riley M., et al. Stochastic pronunciation modeling from hand-labeled phonetic corpora. Speech Communication. 29:1999;209-224.
13. Saraçlar, M., 2000. Pronunciation modeling for conversational speech recognition. PhD Thesis, Johns Hopkins University.
14. Saraçlar M., Nock H., Khudanpur S. Pronunciation modeling by sharing Gaussian densities across phonetic models. Computer Speech and Language. 14:2000;137-160.
15. Stolcke, A. et al., 2000. The SRI March 2000 Hub-5 Conversational Speech Transcription System. In: Proceedings of the Speech Transcription Workshop. College Park, MD.
16. Young S., et al. The HTK Book (version 2.0). 1995;Entropic Cambridge Research Laboratory, Cambridge, UK.