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Speech Compression/Recognition with Robust Features

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Part of the book series: NATO Advanced Study Institutes Series ((ASIC,volume 59))

Abstract

Described here are feature extraction procedures that overcome the limitations of linear predictive coding. Problems of speech compression and speech recognition in the feature extraction stage are attacked with similar tools. A uniform evaluation procedure for both disciplines is indicated.

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References

  1. B. T. Lowerre, “The Harpy Speech Recognition System,” Ph.D. Dissertation, Carnegie Mellon University, 1976.

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  2. Sidhartha Maitra and C. R. Davis, “A Speech Digitizer at 2400 Bits per Second,” IEEE Transactions on Acoustics, Speech and Signal Processing, December, 1979.

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  3. Sidhartha Maitra, et al., “A Non-Least Squares Criterion for Speech Coding,” 19th IEEE Computer Society International Conference, Washington, D.C., September, 1979.

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  4. Sidhartha Maitra, et al., “A Maximum Peakiness Criterion for Deconvolving Speech Waveforms,” IEEE International Conference on Acoustics, Speech and Signal Processing, Denver, April, 1980.

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  5. J. Makhoul, et al., “A Mixed Source Model for Speech Compression and Synthesis,” Journal of the Acoustical Society of America, Vol. 64, No. 6, pp. 1577–1581, December, 1978.

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  6. Sidhartha Maitra, et al., “Improvements in the Classical Model for Better Speech Quality,” IEEE International Conference on Acoustics, Speech and Signal Processing, Denver, April, 1980.

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  7. M. Morf and D. T. Lee, “Fast Algorithms for Speech Modeling,” Final Report to Defense Communications Agency, Contract DCA100–77-C-005, Information Systems Laboratory, Stanford, California, November, 1978.

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  8. M. Morf and D. T. Lee, “Recursive Least Squares Ladder Forms for Fast Parameter Tracking,” Proc. of the 7th IEEE Conference on Decision and Control, pp. 1362–1367, January, 1979.

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  9. A. Buzo, et al., “A Two-Step Speech Compression System with Vector Quantization,” Proceedings of 1979 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 52–55, April, 1979.

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© 1980 D. Reidel Publishing Company

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Maitra, S. (1980). Speech Compression/Recognition with Robust Features. In: Simon, J.C. (eds) Spoken Language Generation and Understanding. NATO Advanced Study Institutes Series, vol 59. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-9091-3_27

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  • DOI: https://doi.org/10.1007/978-94-009-9091-3_27

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-9093-7

  • Online ISBN: 978-94-009-9091-3

  • eBook Packages: Springer Book Archive

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