The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The DRAGON system--An overview
Abstract
This paper briefly describes the major features of the DRAGON speech understanding system. DRAGON makes systematic use of a general abstract model to represent each of the knowledge sources necessary for automatic recognition of continuous speech. The model--that of a probabilistic function of a Markov process--is very flexible and leads to features which allow DRAGON to function despite high error rates from individual knowledge sources. Repeated use of a simple abstract model produces a system which is simple in structure, but powerful in capabilities.
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Cites
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
An introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775
Readings in Distributed Artificial Intelligence
(1988) · Elsevier eBooks · doi:10.1016/c2013-0-07700-6 · Cited by 986
Speech recognition by machine: A review
Reddy, D. R. (1976) · Proceedings of the IEEE · doi:10.1109/proc.1976.10158 · Cited by 512
Holistic Evaluation of Language Models
Bommasani, R., Liang, P., & Lee, T. (2023) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15007 · Cited by 480
Metadata
- Authors
- Baker, J.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1975-02
- Volume
- 23
- Issue
- 1
- Pages
- 24-29
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2163929346
- Cited by
- 520
- References
- 1
- FWCI
- 8.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Baker, J. (1975). The DRAGON system--An overview. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1975.1162650
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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