The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Speech recognition: A model and a program for research
Abstract
A speech recognition model is proposed in which the transformation from an input speech signal into a sequence of phonemes is carried out largely through an active or feedback process. In this process, patterns are generated internally in the analyzer according to an adaptable sequence of instructions until a best match with the input signal is obtained. Details of the process are given, and the areas where further research is needed are indicated.
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Citations
Cites
Plans and the structure of behavior.
Miller, G. A., Galanter, E., & Pribram, K. H. (1960) · doi:10.1037/10039-000 · Cited by 4,630
Cited by
Perception of the speech code.
Liberman, A. M., Cooper, F. S., Shankweiler, D. P., & Studdert-Kennedy, M. (1967) · Psychological Review · doi:10.1037/h0020279 · Cited by 3,722
The order of visual processing: “Top-down,” “bottom-up,” or “middle-out”
Kinchla, R. A., & Wolfe, J. M. (1979) · Perception & Psychophysics · doi:10.3758/bf03202991 · Cited by 447
Sensory–motor transformations for speech occur bilaterally
Cogan, G. B., Thesen, T., Carlson, C., Doyle, W., Devinsky, O., & Pesaran, B. (2014) · Nature · doi:10.1038/nature12935 · Cited by 273
Prediction, Bayesian inference and feedback in speech recognition
Norris, D., McQueen, J. M., & Cutler, A. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1081703 · Cited by 170
Metadata
- Authors
- Halle, M., & Stevens, K.
- Venue
- IEEE Transactions on Information Theory
- Published
- 1962-02
- Volume
- 8
- Issue
- 2
- Pages
- 155-159
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W2134952451
- Cited by
- 381
- References
- 1
- FWCI
- 9.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Halle, M., & Stevens, K. (1962). Speech recognition: A model and a program for research. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.1962.1057686
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
