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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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Handbook of neural networks for speech processing / Shigeru Katagiri, editor.

Contributor(s): Material type: TextSeries: Artech House signal processing libraryPublication details: Boston : Artech House, c2000.Description: xxiii, 522 p. : ill. ; 24 cmISBN:
  • 0890069549 (alk. paper)
Other title:
  • Neural networks for speech processing
Subject(s): DDC classification:
  • 006.454 KAT 21
LOC classification:
  • TK7895.S65 H36 2000
Online resources:
Contents:
Introduction. Speech Signal and Its Production Model. Speech Recognition. Speech Coding. Discriminative Prototype-Based Methods for Speech Recognition. Recurrent Neural Networks for Speech Recognition. Time Delay Neural Nets and NN/HMM Hybrids - A Family of Connectionist Continuous Speech Recognition Systems. Probability-Oriented Neural Networks and Hybrid Connectionist/Stochastic Networks. Minimum Classification Error Networks. Networks for Speaker Recognition. Neural Networks for Voice Conversion. Neural Networks for Speech Coding. Networks for Speech Enhancement.
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Reference text books All India Institute of Speech and Hearing R-1/4 006.454 KAT (Browse shelf(Opens below)) Available 13416
Total holds: 0

Includes bibliographical references and index.

Introduction. Speech Signal and Its Production Model. Speech Recognition. Speech Coding. Discriminative Prototype-Based Methods for Speech Recognition. Recurrent Neural Networks for Speech Recognition. Time Delay Neural Nets and NN/HMM Hybrids - A Family of Connectionist Continuous Speech Recognition Systems. Probability-Oriented Neural Networks and Hybrid Connectionist/Stochastic Networks. Minimum Classification Error Networks. Networks for Speaker Recognition. Neural Networks for Voice Conversion. Neural Networks for Speech Coding. Networks for Speech Enhancement.

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