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Speaker-independent isolated word recognition using dynamic features of speech spectrum
Abstract
This paper proposes a new isolated word recognition technique based on a combination of instantaneous and dynamic features of the speech spectrum. This technique is shown to be highly effective in speaker-independent speech recognition. Spoken utterances are represented by time sequences of cepstrum coefficients and energy. Regression coefficients for these time functions are extracted for every frame over an approximately 50 ms period. Time functions of regression coefficients extracted for cepstrum and energy are combined with time functions of the original cepstrum coefficients, and used with a staggered array DP matching algorithm to compare multiple templates and input speech. Speaker-independent isolated word recognition experiments using a vocabulary of 100 Japanese city names indicate that a recognition error rate of 2.4 percent can be obtained with this method. Using only the original cepstrum coefficients the error rate is 6.2 percent.
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Citations
Cited by
Speech recognition in noisy environments: A survey
Gong, Y. (1995) · Speech Communication · doi:10.1016/0167-6393(94)00059-j · Cited by 635
Audio-visual speech modeling for continuous speech recognition
Dupont, S., & Luettin, J. (2000) · IEEE Transactions on Multimedia · doi:10.1109/6046.865479 · Cited by 598
Extraction of visual features for lipreading
Matthews, I., Cootes, T. F., Bangham, J. A., Cox, S., & Harvey, R. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.982900 · Cited by 537
An application of recurrent nets to phone probability estimation
Robinson, A. J. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.279192 · Cited by 441
A tutorial on task-parameterized movement learning and retrieval
Calinon, S. (2016) · Intelligent Service Robotics · doi:10.1007/s11370-015-0187-9 · Cited by 422
Metadata
- Authors
- Furui, S.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1986-02
- Volume
- 34
- Issue
- 1
- Pages
- 52-59
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W1994396704
- Cited by
- 748
- References
- 0
- FWCI
- 4.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Furui, S. (1986). Speaker-independent isolated word recognition using dynamic features of speech spectrum. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1986.1164788
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