Dynamic programming algorithm optimization for spoken word recognition
@article{Sakoe1978DynamicPA,
title={Dynamic programming algorithm optimization for spoken word recognition},
author={Hiroaki Sakoe and Seibi Chiba},
journal={IEEE Transactions on Acoustics, Speech, and Signal Processing},
year={1978},
volume={26},
pages={159-165}
}This paper reports on an optimum dynamic progxamming (DP) based time-normalization algorithm for spoken word recognition. [] Key Method The symmetric form algorithm superiority is established. A new technique, called slope constraint, is successfully introduced, in which the warping function slope is restricted so as to improve discrimination between words in different categories.
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References
SHOWING 1-10 OF 12 REFERENCES
Minimum prediction residual principle applied to speech recognition
- Computer Science
- 1975
A computer system is described in which isolated words, spoken by a designated talker, are recognized through calculation of a minimum prediction residual through optimally registering the reference LPC onto the input autocorrelation coefficients using the dynamic programming algorithm.
Speech recognition experiments with linear predication, bandpass filtering, and dynamic programming
- Computer Science
- 1976
Automatic speech recognition experiments are described in which several popular preprocessing and classification strategies are compared and it is shown that dynamic programming is of major importance for recognition of polysyllabic words.
Comparative study of DP-pattern matching techniques for speech recognition
- Group Meeting Speech, Acoust. SOC. Japan, Preprints
Nat. Meeting, Inst. Electron. Comm. Eng. Japan
- Nat. Meeting, Inst. Electron. Comm. Eng. Japan
- 1970
Real - time speech recognition system by minicomputer with DP processor ” ( in Japanese ) , in I 9 74 Tech
- Applied Dynamic Programming
- 1962
A similarity evaluation of speech patterns by dynamic programming
A similarity evaluation of speech patterns by dynamic programming ” ( in Japanese ) , presented at the Dig