Morpho-syntactic post-processing of N-best lists for improved French automatic speech recognition

Computer Speech and Language

Volumn 24, Issue 4, 2010, Pages 663-684

  Huet, Stéphane ^a   Gravier, Guillaume ^a   Sébillot, Pascale ^a  

^a CAMPUS DE BEAULIEU   (France)

Author keywords

Confidence measure; Morpho syntax; Speech recognition; Tagging

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; AUTOMATIC SPEECH RECOGNITION SYSTEM; BROADCAST NEWS; CONFIDENCE MEASURE; LANGUAGE MODEL; LINGUISTIC KNOWLEDGE; LONG SPAN; N-BEST LIST; PART OF SPEECH; POST PROCESSING; POST-PROCESSING STAGES; PRONUNCIATION DICTIONARIES; RE-RANKING; WORD ERROR RATE;

COMPUTATIONAL LINGUISTICS; ERRORS; REMELTING; SYNTACTICS;

SPEECH RECOGNITION;

EID: 77950944695     PISSN: 08852308     EISSN: 10958363     Source Type: Journal    
DOI: 10.1016/j.csl.2009.10.001     Document Type: Article

References (35)

1. Béchet, F., Nasr, A., Spriet, T., de Mori, R., 1999. Large span statistical language models: application to homophone disambiguation for large vocabulary speech recognition in French. In: Proceedings of the European Conference on Speech Communication and Technology. Budapest, Hungary, pp. 1763-1766.
2. Brants, T., 2000. TnT - a statistical part-of-speech tagger. In: Proceedings of the Conference on Applied Natural Language Processing. Seattle, WA, USA, pp. 224-231.
3. Chelba C., and Jelinek F. Structured language modeling. Computer Speech and Language 14 4 (2000) 283-332
4. Chen, S.F., Goodman, J., 1998. An empirical study of smoothing techniques for language modeling. Tech. rep., Harvard University, Cambridge, MA, USA.
5. El-Bèze, M., Derouault, A.-M., 1990. A morphological model for large vocabulary speech recognition. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Albuquerque, NM, USA, pp. 577-580.
6. Galliano, S., Geoffrois, E., Mostefa, D., Choukri, K., Bonastre, J.-F., Gravier, G., 2005. The ESTER phase II evaluation campaign for the rich transcription of French broadcast news. In: Proceedings of the European Conference on Speech Communication and Technology. Lisbon, Portugal, pp. 1149-1152.
7. Galliano, S., Gravier, G., Chaubard, L., 2009. The ESTER 2 evaluation campaign for the rich transcription of French radio broadcasts. In: Proc. 10th Conf. of the Int. Speech Communication Association (Interspeech).
8. Gauvain, J.-L., Lamel, L., Adda, G., Adda-Decker, M., 1994. The LIMSI continuous speech dictation system. In: Proceedings of the ARPA Workshop on Human Language Technology. Plainsboro, NJ, USA, pp. 319-324.
9. Gauvain, J.-L., Adda, G., Adda-Decker, M., Allauzen, A., Gendner, V., Lamel, L., Schwenk, H., 2005. Where are we in transcribing French broadcast news? In: Proceedings of the European Conference on Speech Communication and Technology. Lisbon, Portugal, pp. 1665-1668.
10. Gendner, V., Adda-Decker, M., 2002. Analyse comparative de corpus oraux et écrits français: mots, lemmes et classes morpho-syntaxiques. In: Actes des 24èmes Journées d'études sur la Parole. Nancy, France, pp. 13-16.
11. Gravier, G., Yvon, F., Ben, M., 2005. IRENE, le système IRISA - ENST d'indexation d'Ãl'missions radiophoniques. In: Atelier ESTER Phase II.
12. Heeman, P.A., 1999. POS tags and decision trees for language modeling. In: Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora. College Park, MD, USA, pp. 129-137.
13. Hirsimäki T., Creutz M., Siivola V., Kurimo M., Virpioja S., and Pylkkönen J. Unlimited vocabulary speech recognition with morph language models applied to Finnish. Computer Speech and Language 20 4 (2006) 515-541
14. Huckvale M., and Fang A.C. Using phonologically-constrained morphological analysis in continuous speech recognition. Computer Speech and Language 16 2 (2002) 165-181
15. Huet, S., Gravier, G., Sébillot, P., 2007. Morphosyntactic processing of N-best lists for improved recognition and confidence measure computation. In: 10th Conf. of the Int. Speech Communication Association (Interspeech), pp. 1741-1744.
16. Huet, S., Gravier, G., Sébillot, P., 2008. Morphosyntactic resources for automatic speech recognition. In: Proceedings of the International Conference on Language Resources and Evaluation. Marrakech, Morocco, pp. 692-698.
17. Jardino, M., 1996. Multilingual stochastic N-gram class language models. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Atlanta, GA, USA, pp. 161-163.
18. Jelinek, F., 1990. Self-organized language modeling for speech recognition. Readings in Speech Recognition. Morgan Kaufmann Publishers, pp. 450-506.
19. Jurafsky, D., Wooters, C., Segal, J., Stolcke, A., Fosler, E., Tajchman, G., Morgan, N., 1995. Using a stochastic context-free grammar as a language model for speech recognition. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Detroit, MI, USA, pp. 189-192.
20. Kurimo, M., Puurula, A., Arisoy, E., Siivola, V., Hirsimäki, T., Pylkkönen, J., Alumäe, T., Saraclar, M., 2006. Unlimited vocabulary speech recognition for agglutinative languages. In: Proceedings of the Human Language Technology Conference of the North American Chapter of the ACL. New York City, NY, USA, pp. 487-494.
21. Lavecchia, C., Smaïli, K., Haton, J.-P., 2006. How to handle gender and number agreement in statistical language models? In: Proceedings of the International Conference on Spoken Language Processing. Pittsburgh, PA, USA, pp. 1854-1857.
22. Maltese, G., Mancini, F., 1992. An automatic technique to include grammatical and morphological information in a trigram-based statistical language model. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. San Francisco, CA, USA, pp. 157-160.
23. Maltese, G., Bravetti, P., Crépy, H., Grainger, B.J., Herzog, M., Palou, F., 2001. Combining word- and class-based language models: a comparative study in several languages using automatic and manual word-clustering techniques. In: Proceedings of the European Conference on Speech Communication and Technology. Aalborg, Denmark, pp. 21-24.
24. Mangu L., Brill E., and Stolcke A. Finding consensus in speech recognition: word error minimization and other applications of confusion networks. Computer Speech and Language 14 4 (2000) 373-400
25. Merialdo B. Tagging English text with a probabilistic model. Computational Linguistics 20 2 (1994) 155-171
26. Namer F. FLEMM: un analyseur flexionnel du français à base de règles. Traitement Automatique des Langues 41 2 (2000) 523-547
27. Quiniou, S., Anquetil, É., Carbonnel, S., 2005. Statistical language models for on-line handwritten sentence recognition. In: Proceedings of the International Conference on Document Analysis and Recognition. Seoul, South Korea, pp. 516-520.
28. Rueber, B., 1997. Obtaining confidence measures from sentence probabilities. In: Proceedings of the European Conference on Speech, Communication, Technology. Rhodes, Greece, pp. 739-742.
29. Siu M., and Gish H. Evaluation of word confidence for speech recognition systems. Computer Speech and Language 13 4 (1999) 299-319
30. Stolcke, A., König, Y., Weintraub, M., 1997. Explicit word error minimization in N-best list rescoring. In: Proceedings of the European Conference on Speech, Communication, Technology. Rhodes, Greece, pp. 163-166.
31. Valli A., and Véronis J. Étiquetage grammatical de corpus oraux: problèmes et perspectives. Revue Française de Linguistique Appliquée 4 2 (1999) 113-133
32. Vergyri, D., Kirchhoff, K., Duh, K., Stolcke, A., 2004. Morphology-based language modeling for arabic speech recognition. In: Proceedings of the 8th International Conference on Spoken Language Processing. Jeju Island, South Korea, pp. 2245-2248.
33. Wang, W., Stolcke, A., Harper, M.P., 2004. The use of a linguistically motivated language model in conversational speech recognition. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Montreal, Canada, pp. 261-264.
34. Weintraub, M., Aksu, Y., Dharanipragada, S., Khudanpur, S., Ney, H., Prange, J., Stolcke, A., Jelinek, F., Shriberg, E., 1996. LM95 project report: fast training and portability. Tech. rep., Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA.
35. Zitouni I., Smaïli K., and Haton J.-P. Statistical language modeling based on variable-length sequences. Computer Speech and Language 17 1 (2003) 27-41