The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Maximum Likelihood Approach to Continuous Speech Recognition
Abstract
Speech recognition is formulated as a problem of maximum likelihood decoding. This formulation requires statistical models of the speech production process. In this paper, we describe a number of statistical models for use in speech recognition. We give special attention to determining the parameters for such models from sparse data. We also describe two decoding methods, one appropriate for constrained artificial languages and one appropriate for more realistic decoding tasks. To illustrate the usefulness of the methods described, we review a number of decoding results that have been obtained with them.
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Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
Cited by
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
LLaMA: Open and Efficient Foundation Language Models
Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.-A., Lacroix, T., Rozière, B., Goyal, N., Hambro, E., Azhar, F., et al. (2023) · arXiv · doi:10.48550/arxiv.2302.13971 · Cited by 4,602
(1992) · doi:10.5555/176313.176316 · Cited by 2,892
Self-citationAn empirical study of smoothing techniques for language modeling
Chen, S. F., & Goodman, J. (1999) · Computer Speech & Language · doi:10.1006/csla.1999.0128 · Cited by 2,066
Connectionist learning procedures
Hinton, G. E. (1989) · Artificial Intelligence · doi:10.1016/0004-3702(89)90049-0 · Cited by 1,430
Metadata
- Authors
- Bahl, L. R., Jelinek, F., & Mercer, R. L.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1983-03
- Volume
- PAMI-5
- Issue
- 2
- Pages
- 179-190
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W1966812932
- Cited by
- 1,212
- References
- 1
- FWCI
- 15.44
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bahl, L. R., Jelinek, F., & Mercer, R. L. (1983). A Maximum Likelihood Approach to Continuous Speech Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.1983.4767370
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