Pronunciation prediction with Default&Refine

Computer Speech and Language

Volumn 22, Issue 4, 2008, Pages 374-393

  Davel, Marelie ^a   Barnard, Etienne ^a  

^a CSIR MERAKA INSTITUTE   (South Africa)

Author keywords

Default Refine; Grapheme to phoneme prediction; Pronunciation prediction; Rule extraction

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; GLOSSARIES; LEARNING SYSTEMS;

DICTIONARY; GRAPHEME-TO-PHONEME PREDICTION; RULE EXTRACTION;

SPEECH PROCESSING;

EID: 42949146661     PISSN: 08852308     EISSN: 10958363     Source Type: Journal    
DOI: 10.1016/j.csl.2008.01.001     Document Type: Article

References (28)

1. Andersen, O., Kuhn, R., Lazarides, A., Dalsgaard, P., Haas, J., Noth, E., 1996. Comparison of two tree-structured approaches for grapheme-to-phoneme conversion. In: Proceedings of the International Conference on Spoken Language Processing (ICSLP), vol. 3, Philadelphia, PA, pp. 1700-1703.
2. Black, A., Lenzo, K., Pagel, V., 1998. Issues in building general letter to sound rules. In: Proceedings of the 3rd ESCA Workshop on Speech Synthesis, Jenolan Caves, Australia, pp. 77-80.
3. Brill E. Transformation-based error-driven learning. Computational Linguistics 21 (1995) 543-565
4. Daelemans W., van den Bosch A., and Zavrel J. Forgetting exceptions is harmful in language learning. Machine Learning 34 1-3 (1999) 11-41
5. Daelemans, W., Zavrel, J., van der Sloot, K., van den Bosch, A., 2004. Timbl: Tilburg Memory based Learner, Version 5.1, Reference Guide. .
6. Damper R., Marchand Y., Adamson M., and Gustafson K. Evaluating the pronunciation component of text-to-speech systems for English: a performance comparison of different approaches. Computer Speech and Language 13 April (1999) 155-176
7. Damper R., Marchand Y., Marsters J., and Bazin A. Aligning text and phonemes for speech technology applications using an EM-like algorithm. International Journal of Speech Technology 8 (2005) 147-160
8. Davel, M., Barnard, E., 2003. Bootstrapping for language resource generation. In: Proceedings of the Symposium of the Pattern Recognition Association of South Africa, South Africa, pp. 97-100.
9. Davel, M., Barnard, E., 2004a. A default-and-refinement approach to pronunciation prediction. In: Proceedings of the Symposium of the Pattern Recognition Association of South Africa, South Africa, pp. 119-123.
10. Davel, M., Barnard, E., 2004b. The efficient creation of pronunciation dictionaries: machine learning factors in bootstrapping. In: Proceedings of Interspeech, Jeju, Korea, pp. 2781-2784.
11. Davel, M., Barnard, E., 2004c. The efficient creation of pronunciation dictionaries: human factors in bootstrapping. In: Proceedings of Interspeech, Jeju, Korea, pp. 2797-2800.
12. Davel, M., Barnard, E., 2005. Bootstrapping pronunciation dictionaries: practical issues. In: Proceedings of Interspeech, Lisboa, Portugal, pp. 1561-1564.
13. Davel, M., Barnard, E., 2006. Developing consistent pronunciation models for phonemic variants. In: Proceedings of Interspeech, Pittsburgh, PA, pp. 1260-1263.
14. Davel, M., 2005. Pronunciation modelling and bootstrapping. Ph.D. Thesis, University of Pretoria.
15. Dedina M., and Nusbaum H. PRONOUNCE: a program for pronunciation by analogy. Computer Speech and Language 5 (1991) 55-64
16. Henderson L. On the use of the term 'grapheme'. Language and Cognitive Processes 1 (1985) 135-148
17. Hoste, V., Daelemans, W., Sang, E., Gillis, S., 2000. Meta-learning for phonemic annotation of corpora. In: Proceedings of the International Conference on Machine Learning (ICML-2000), pp. 375-382.
18. Kohonen, T., 1986. Dynamically expanding context, with application to the correction of symbol strings in the recognition of speech. In: Proceedings of the 8th International Conference on Pattern Recognition (8th ICPR), Paris, France, pp. 1148-1151.
19. Marchand Y., and Damper R. A multistrategy approach to improving pronunciation by analogy. Computational Linguistics 26 (2000) 195-219
20. Maskey, S., Tomokiyo, L., Black, A., 2004. Bootstrapping phonetic lexicons for new languages. In: Proceedings of Interspeech, Jeju, Korea, October, pp. 69-72.
21. Mertens, P., Vercammen, F., 1998. Fonilex Manual. Technical Report, K.U.Leuven CCL. .
22. Mitten, R., 1992. Computer-usable version of Oxford Advanced Learner's Dictionary of Current English. Technical Report, Oxford Text Archive. .
23. Sejnowski T., and Rosenberg C. Parallel networks that learn to pronounce English text. Complex Systems (1987) 145-168
24. Torkkola, K., 1993. An efficient way to learn English grapheme-to-phoneme rules automatically. In: Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 2, Minneapolis, MN, pp. 199-202.
25. van Coile, B., 1990. Inductive learning of grapheme-to-phoneme rules. In: International Conference on Spoken Language Processing (ICSLP-1990), pp. 765-768.
26. van den Bosch, A., 1990. Wrapped progressive sampling search for optimizing learning algorithm parameters. In: Proceedings of the Sixteenth Belgian-Dutch Artificial Intelligence Conference, Groningen, The Netherlands, pp. 219-226.
27. Viterbi A. Error bounds for convolutional codes and a asymptotically optimum decoding algorithm. IEEE Transactions on Information Theory 13 (1967) 260-269
28. Yvon, F., 1996. Grapheme-to-phoneme conversion using multiple unbounded overlapping chunks. In: Proceedings of Conference on New Methods in Natural Language Processing (NeMLaP), Ankara, Turkey, pp. 218-228.