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Statistical Methods for Speech Recognition
Abstract
The speech recognition problem hidden Markov models the acoustic model basic language modelling the Viterbi search hypothesis search on a tree and the fast match elements of information theory the complexity of tasks - the quality of language models the expectation - maximization algorithm and its consequences decision trees and tree language models phonetics from orthography - spelling-to-base from mappings triphones and allophones maximum entropy probability estimation and language models three applications of maximum entropy estimation to language modelling estimation of probabilities from counts and the Back-Off method.
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Citations
Cited by
(2003) · Journal of Machine Learning Research · doi:10.5555/944919.944937 · Cited by 32,337
Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
Toutanova, K., & Manning, C. D. (2000) · Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - · doi:10.3115/1117794.1117802 · Cited by 939
Recognition of visual activities and interactions by stochastic parsing
Ivanov, Y. A., & Bobick, A. F. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868686 · Cited by 659
Hwang, G.-J. (2014) · Smart Learning Environments · doi:10.1186/s40561-014-0004-5 · Cited by 655
Tree Induction for Probability-Based Ranking
Provost, F., & Domingos, P. (2003) · Machine Learning · doi:10.1023/a:1024099825458 · Cited by 541
Metadata
- Authors
- Sun, D. X., & Jelinek, F.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1999-06
- Volume
- 94
- Issue
- 446
- Pages
- 650
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W1508165687
- Cited by
- 1,946
- References
- 0
- FWCI
- 104.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sun, D. X., & Jelinek, F. (1999). Statistical Methods for Speech Recognition. Journal of the American Statistical Association. https://doi.org/10.2307/2670189
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
