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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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Speech enhancement : a signal subspace perspective / Jacob Benesty, Jesper Rindom Jensen, Mads Græsbøll Christensen, Jingdong Chen.

By: Material type: TextPublisher: Oxford : Elsevier, AP, Academic Press is an imprint of Elsevier, 2014Description: vi, 135 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780128001394
  • 0128001399
Subject(s): DDC classification:
  • 006.454 BEN;1
LOC classification:
  • TK7882.S65 B459 2014
Online resources:
Contents:
1. Introduction 2. General Concept with the Diagonalization of the Speech Correlation Matrix 3. General Concept with the Joint Diagonalization of the Speech and Noise Correlation Matrices 4. Single-Channel Speech Enhancement in the Time Domain 5. Multichannel Speech Enhancement in the Time Domain 6. Multichannel Speech Enhancement in the Frequency Domain 7. A Bayesian Approach to the Speech Subspace Estimation 8. Evaluation of the Time-Domain Speech Enhancement Filters
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Stack text books All India Institute of Speech and Hearing R-1/4 006.454 BEN;1 (Browse shelf(Opens below)) Available 20281
Stack text books All India Institute of Speech and Hearing 3/4 006.454 BEN;1 (Browse shelf(Opens below)) Available 20282
Total holds: 0

Includes bibliographical references and index.

1. Introduction 2. General Concept with the Diagonalization of the Speech Correlation Matrix 3. General Concept with the Joint Diagonalization of the Speech and Noise Correlation Matrices 4. Single-Channel Speech Enhancement in the Time Domain 5. Multichannel Speech Enhancement in the Time Domain 6. Multichannel Speech Enhancement in the Frequency Domain 7. A Bayesian Approach to the Speech Subspace Estimation 8. Evaluation of the Time-Domain Speech Enhancement Filters

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