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All India Institute of Speech and Hearing, Mysuru
(An Autonomous institute Under Ministry of Health and Family Welfare, Government of India.)

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Modern methods of speech processing / edited by Ravi P. Ramachandran, Richard J. Mammone.

Contributor(s): Material type: TextSeries: Kluwer international series in engineering and computer science ; SECS 327. | Kluwer international series in engineering and computer science. VLSI, computer architecture, and digital signal processing.Publication details: Boston : Kluwer Academic Publishers, c1995.Description: xvii, 470 p. : ill. ; 25 cmISBN:
  • 9780792396079
Subject(s): DDC classification:
  • 006.454 RAM M 20
LOC classification:
  • TK7882.S65 M63 1995
Online resources:
Contents:
Contributors. Preface. Part 1: Speech Coding. 1. The use of pitch prediction in speech coding; R.P. Ramachandran. 2. Vector quantization of linear predictor coefficients; J.S. Collura. 3. Linear predictive analysis by synthesis coding; P. Kroon, W.B. Kleijn. 4. Waveform interpolation; J. Haggen, W.B. Kleijn. 5. Variable rate speech coding; V. Cuperman, P. Lupini. Part 2: Speech Recognition. 6. Word spotting; J.R. Rohlicek. 7. Speech recognition using neural networks; S.V. Kosonocky. 8. Current methods in continuous speech recognition; P.S. Gopalakrishnan. 9. Large vocabulary isolated word recognition; V. Gupta, M. Lennig. 10. Recent developments in robust speech recognition; B.H. Juang. 11. How do humans process and recognize speech? J.B. Allen. Part 3: Speaker Recognition. 12. Data fusion techniques for speaker recognition; K.R. Farrell, R.J. Mammone. 13. Speaker recognition over telephone channels; Y.-H. Kao, et al. Part 4: Text to speech synthesis. 14. Approaches to improve automatic speech synthesis; D. O'Shaughnessy. Part 5: Applications of Models. 15. Microphone array for hands-free voice communication in a car; S. Oh, V. Viswanathan. 16. The pitch mode modulation model and its application in speech processing; O. Ghitza. 17. Auditory models and human performance in tasks related to speech coding and speech recognition; O. Ghitza. 18. Applications of wavelets to speech processing: a case study of a Celp coder; J. Ooi, V. Viswanathan. Index
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Reference text books All India Institute of Speech and Hearing R-1/5 006.454 RAM M (Browse shelf) Available 13761
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Includes bibliographical references and index.

Contributors. Preface. Part 1: Speech Coding. 1. The use of pitch prediction in speech coding; R.P. Ramachandran. 2. Vector quantization of linear predictor coefficients; J.S. Collura. 3. Linear predictive analysis by synthesis coding; P. Kroon, W.B. Kleijn. 4. Waveform interpolation; J. Haggen, W.B. Kleijn. 5. Variable rate speech coding; V. Cuperman, P. Lupini. Part 2: Speech Recognition. 6. Word spotting; J.R. Rohlicek. 7. Speech recognition using neural networks; S.V. Kosonocky. 8. Current methods in continuous speech recognition; P.S. Gopalakrishnan. 9. Large vocabulary isolated word recognition; V. Gupta, M. Lennig. 10. Recent developments in robust speech recognition; B.H. Juang. 11. How do humans process and recognize speech? J.B. Allen. Part 3: Speaker Recognition. 12. Data fusion techniques for speaker recognition; K.R. Farrell, R.J. Mammone. 13. Speaker recognition over telephone channels; Y.-H. Kao, et al. Part 4: Text to speech synthesis. 14. Approaches to improve automatic speech synthesis; D. O'Shaughnessy. Part 5: Applications of Models. 15. Microphone array for hands-free voice communication in a car; S. Oh, V. Viswanathan. 16. The pitch mode modulation model and its application in speech processing; O. Ghitza. 17. Auditory models and human performance in tasks related to speech coding and speech recognition; O. Ghitza. 18. Applications of wavelets to speech processing: a case study of a Celp coder; J. Ooi, V. Viswanathan. Index

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