Very large vocabulary proper name recognition for directory assistance

2001 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2001 - Conference Proceedings

Volumn , Issue , 2001, Pages 222-225

  Bechet F ^a   De Mori, R ^a   Subsol, G ^a  

^a LIA University of Avignon   (France)

Author keywords

[No Author keywords available]

Indexed keywords

VOCABULARY CONTROL;

LARGE VOCABULARY; N-BEST HYPOTHESIS; PROPER NAME RECOGNITION; RELATED WORKS;

SPEECH RECOGNITION;

EID: 84962798184     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2001.1034627     Document Type: Conference Paper

References (18)

1. Boves L., Jouvet D., Sienel J., de Mori R., Béchet F., Fissore L., Laface P. (2000). ASR for Automatic Directory Assistance: the SMADA Project. Proc. ASR, Paris, France.
2. Byrne W., Knodt E., Khudanpur S., and Bernstein J. (1998). Is Automatic Speech Recognition Ready for Non-Native Speakers? Proc. STiLL, pp. 37-40, Marholmen, Sweeden.
3. Chomsky N., Halle M. (1968). The Sound Pattern of English. MIT Press.
4. Cremelie N. and Martens J.P. (1999). In Search of Better Pronunciation Models for Speech Recognition. Speech Communication, 29(2-4): 115-136.
5. Deligne S., Maison B., and Gopinath R. (2001). Automatic Generation and Selection of Multiple Pronunciations for Dynamic Vocabularies.. Proc. ICASSP. Salt Lake City, USA.
6. Deshmukh N., Weber M., and Picone J. (1996). Automatic Generation of N-Best Pronunciations of Proper Nouns. Proc. ICASSP, Atlanta, US. pp. 283-286.
7. Fosler-Lussier E. and Morgan N. (1999). Effects of Speaking-Rate and Word Frequency on Pronunciations in Conversational Speech. Speech Communication, 29(2-4): 137-158.
8. Fosler-Lussier E. (1999). Contextual Word and Syllable Pronunciation Models. Proc. ASRU Workshop, Keystone, USA
9. Gao Y., Ramabhadran B., Chen J., Erdoǧan H., and Picheny M. (2001). Innovative Approaches for Large Vocabulary Name Recognition. Proc. ICASSP, Salt Lake City, USA
10. Jurafsky D., Ward, W. Jianping Z., Herold K., Xiuyang Y., and Sen Z. (2001). What Kind of Pronunciation Variation is Hard for Triphone to Model? Proc. ICASSP, Salt Lake City, USA.
11. Kim T., Kang S., and Ko, H. (2000). An Effective Acoustic Modeling of Names Based on Model Induction. Proc. ICASSP, Istanbul, Turkey.
12. Kim, J.H. and Woodland, P.C. (2000). A Rule-Based Named Entity Recognition System for Speech Input. Proc. ICSLP, Beijing, Republic of China.
13. Korkmazskiy F. and Lee C.H. (1999). Pronunciation Modeling with Genetic Algorithms. Proc, ASRU Workshop, Keystone, USA. pp 528-531.
14. Ramabhadran C., Bahl R.L., deSouza P.V., and Pandmanabhan, M. (1998). Acoustic Only Based Automatic Phonetic Baseform Generation. Proc. ICASSP, Seattle, USA.
15. Riley M., Byrne W., Finke M., Khudanpur S., Ljolje A., McDonough J., Nock H., Saraclar M., Wooters C. and Zavaliagkos G. (1999). Stochastic Pronunciation Modeling from Hand Labeled Phonetic Corpora. Speech Communication, 29(2-4):209-224
16. Suchato A. (2000). Framework for Joint Recognition of Pronounced and Spelled Proper Names. MS Thesis, MIT. http://www.sls.lcs.mit.edu/sls/publications/index.html
17. Strik H. and Cucchiarini C. (1999). Modeling Pronunciation Variation for ASR: A survey of the literature. Speech Communication, 29(2-4):225-246.
18. Witt S. and Young S. (1999). Off-line Acoustic Modelling of Non-Native Accents. Proc. Eurospeech, Budapest, Hungary, pp 1367-1370.