Inference of variable-length linguistic and acoustic units by multigrams

Speech Communication

Volumn 23, Issue 3, 1997, Pages 223-241

  Deligne, Sabine ^a,b   Bimbot, Frédéric ^a  

^a CNRS   (France)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; LINGUISTICS;

ACOUSTIC UNITS; MULTIGRAMS;

SPEECH RECOGNITION;

EID: 0031273765     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6393(97)00048-4     Document Type: Article

References (24)

1. Atal, B.S, 1983. Efficient coding of 1pc parameters by temporal decomposition. In: Proc. Internat. Conf. Acoust. Speech Signal Process.'83.
2. Bacchiani, M., Ostendorf, M., Sagisaka, Y., Paliwal, K., 1996. Design of a speech recognition system based on acoustically derived segmental units. In: Proc. Internat. Conf. Acoust. Speech Signal Process.'96
3. Bimbot, F., 1988. Synthèse de la parole: des segments aux règles, avec utilisation de la décomposition temporelle. PhD thesis, Télécom Paris, 46 rue Barrault, 75013 Paris, France.
4. Bimbot, F., Deligne, S., 1995. Unsupervised decomposition of phoneme strings into variable-length sequences by multigrams. In: Proc. ICPhS 95, August 1995.
5. Bimbot, F., Pieraccini, R., Levin, E., Atal, B., 1994. Modèles de séquences àhorizon variable: Multigrammes. In: Proc. XXth JEP, Trégastel, France, June 1994.
6. Bimbot, F., Pieraccini, R., Levin, E., Atal, B., 1995. Variable-length sequence modeling: Multigrams. IEEE Signal Proc. Lett. 2 (6).
7. Brent, M., Cartwright, T., 1996. Distributional regularity and phonotactics are useful for segmentation. Cognition 61.
8. Cartwright, T.A., Brent, M., 1994. Segmenting speech without a lexicon: the roles of phonotactics and speech scource. In: Proc. 1 st Meeting of the Association for Computational Linguistics.
9. Chou P.A., Lookabaugh, T., 1994. Variable dimension vector quantization of linear predictive coefficients of speech. In: Proc. Internat. Conf. Acoust. Speech Signal Process. '94, Vol. 1, pp. 505-508.
10. de Marcken, C., 1995. The unsupervised acquisition of a lexicon from continuous speech. Technical report, MIT Artificial Intelligence Lab. and Center for Biological and Computational Learning, Dep. of Brain and Cognitive Sciences.
11. Deligne, S., 1996. Modèles de séquences de longueurs variables: Application au traitement du langage écrit et de la parole. PhD thesis, Télécom Paris, 46 rue Barrault, 75013 Paris, France.
12. Deligne, S., Bimbot, F., 1995. Language modeling by variable length sequences: theoretical formulation and evaluation of multigrams. In: Proc. Internat. Conf. Acoust. Speech Signal Process.'95.
13. Deligne, S., Yvon, F., Bimbot, F., 1995. Variable-length sequence matching for phonetic transcription using joint multigrams. In: Proc. EUROSPEECH 95, Vol. 3, pp. 169-172.
14. Deligne, S., Yvon, F., Bimbot, F., 1996. Introducing statistical dependencies and structural constraints in variable-length sequence models. In: Miclet, L., de la Higuera, C., (Eds.), Grammatical Inference: Learning Syntax from Sentences, Lecture Notes in Artificial Intelligence 1147. Springer, Berlin, pp. 156-167.
15. Dempster, A.P., Laird, N.M., Rubin, D.B., 1977. Maximum-likelihood from incomplete data via the EM algorithm. J. Royal Statis. Soc. 39 (1), 1-38.
16. Lee, C.H., Soong, F.K., Juang, B.H., 1988. A segment model based approach to speech recognition. In: Proc. Internat. Conf. Acoust. Speech Signal Process.'88, pp. 501-504.
17. Lee, C.H., Juang, B.H., Soong, F.K., Rabiner, L.R., 1989. Word recognition using whole word and subword models. Proc. Internat. Conf. Acoust. Speech Signal Process.'89, pp. 683-686.
18. McCandless M.K., Glass, J.R., 1993. Empirical acquisition of word and phrase classes in the ATB domain. In: Proc. EUROSPEECH 93.
19. Moore, R.K., 1994. Twenty things we still don't know about speech. In: Niemann H., deMori, R., (Eds.), Progress and Prospects of Speech Research and Technology. Infix, Germany.
20. Ries, K., Buo, F.D., Wang, Y., 1995. Improved language modeling by unsupervised acquisition of structure. In: Proc. Internat. Conf. Acoust. Speech Signal Process.'95.
21. Rissanen, J., 1989. Stochastic complexity in statistical inquiry, Chapter 3. World Scientific Series in Computer Science, Vol. 15, Singapore, pp. 79-93.
22. Ruanaidh, J.O., Fitzgerald, W.J., 1996. Numerical Bayesian Methods Applied to Signal Processing, Chapter 2, Springer, New York, pp. 8-9.
23. Sagisaka, Y., Iwahashi, N., 1995. Objective optimization in algorithms for text-to-speech synthesis, Chapter 20. In: Kleijn W.B., Paliwal, K.K., (Eds.), Speech Coding and Synthesis, Elsevier, Amsterdam, pp. 685-706.
24. Suhm, B., Waibel, A., 1994. Towards better language models for spontaneous speech. In: Proc. ICSLP 94.