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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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Automatic speech and speaker recognition : (Record no. 6098)

MARC details
000 -LEADER
fixed length control field 05333cam a2200325 a 4500
001 - CONTROL NUMBER
control field 15433868
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200125104933.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 080829s2009 enkae b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2008038551
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470696835 (cloth)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0470696834 (cloth)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)ocn245025429
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)245025429
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency BTCTA
-- YDXCP
-- BWKUK
-- BWK
-- CDX
-- BWX
-- DLC
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK7895.S65
Item number A983 2009
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.454 KESB
Edition number 22
245 00 - TITLE STATEMENT
Title Automatic speech and speaker recognition :
Remainder of title large margin and kernel methods /
Statement of responsibility, etc. [edited by] Joseph Keshet, Samy Bengio.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Chichester, U.K. ;
-- Hoboken, NJ :
Name of publisher, distributor, etc. J. Wiley & Sons,
Date of publication, distribution, etc. 2009.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 253 p. :
Other physical details ill., plans ;
Dimensions 25 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note List of Contributors. Preface. I Foundations. 1 Introduction ( Samy Bengio and Joseph Keshet ). 1.1 The Traditional Approach to Speech Processing. 1.2 Potential Problems of the Probabilistic Approach. 1.3 Support Vector Machines for Binary Classification. 1.4 Outline. References. 2 Theory and Practice of Support Vector Machines Optimization ( Shai Shalev-Shwartz and Nathan Srebo ). 2.1 Introduction. 2.2 SVM and L 2 -regularized Linear Prediction. 2.3 Optimization Accuracy From a Machine Learning Perspective. 2.4 Stochastic Gradient Descent. 2.5 Dual Decomposition Methods. 2.6 Summary. References. 3 From Binary Classification to Categorial Prediction ( Koby Crammer ). 3.1 Multi-category Problems. 3.2 Hypothesis Class. 3.3 Loss Functions. 3.4 Hinge Loss Functions. 3.5 A Generalized Perceptron Algorithm. 3.6 A Generalized Passive-Aggressive Algorithm. 3.7 A Batch Formulation. 3.8 Concluding Remarks. 3.9 Appendix. Derivations of the Duals of the Passive-Aggressive Algorithm and the Batch Formulation. References. II Acoustic Modeling. 4 A Large Margin Algorithm for Forced Alignment ( Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer and Dan Chazan ). 4.1 Introduction. 4.2 Problem Setting. 4.3 Cost and Risk. 4.4 A Large Margin Approach for Forced Alignment. 4.5 An Iterative Algorithm. 4.6 Efficient Evaluation of the Alignment Function. 4.7 Base Alignment Functions. 4.8 Experimental Results. 4.9 Discussion. References. 5 A Kernel Wrapper for Phoneme Sequence Recognition ( Joseph Keshet and Dan Chazan ). 5.1 Introduction. 5.2 Problem Setting. 5.3 Frame-based Phoneme Classifier. 5.4 Kernel-based Iterative Algorithm for Phoneme Recognition. 5.5 Nonlinear Feature Functions. 5.6 Preliminary Experimental Results. 5.7 Discussion: Canwe Hope for Better Results? References. 6 Augmented Statistical Models: Using Dynamic Kernels for Acoustic Models ( Mark J. F. Gales ). 6.1 Introduction. 6.2 Temporal Correlation Modeling. 6.3 Dynamic Kernels. 6.4 Augmented Statistical Models. 6.5 Experimental Results. 6.6 Conclusions. Acknowledgements. References. 7 Large Margin Training of Continuous Density Hidden Markov Models ( Fei Sha and Lawrence K. Saul ). 7.1 Introduction. 7.2 Background. 7.3 Large Margin Training. 7.4 Experimental Results. 7.5 Conclusion. References. III Language Modeling. 8 A Survey of Discriminative Language Modeling Approaches for Large Vocabulary Continuous Speech Recognition ( Brian Roark ). 8.1 Introduction. 8.2 General Framework. 8.3 Further Developments. 8.4 Summary and Discussion. References. 9 Large Margin Methods for Part-of-Speech Tagging ( Yasemin Altun ). 9.1 Introduction. 9.2 Modeling Sequence Labeling. 9.3 Sequence Boosting. 9.4 Hidden Markov Support Vector Machines. 9.5 Experiments. 9.6 Discussion. References. 10 A Proposal for a Kernel Based Algorithm for Large Vocabulary Continuous Speech Recognition ( Joseph Keshet ). 10.1 Introduction. 10.2 Segment Models and Hidden Markov Models. 10.3 Kernel Based Model. 10.4 Large Margin Training. 10.5 Implementation Details. 10.6 Discussion. Acknowledgements. References. IV Applications. 11 Discriminative Keyword Spotting ( David Grangier, Joseph Keshet and Samy Bengio ). 11.1 Introduction. 11.2 Previous Work. 11.3 Discriminative Keyword Spotting. 11.4 Experiments and Results. 11.5 Conclusions. Acknowledgements. References. 12 Kernel-based Text-independent Speaker Verification ( Johnny Mariethoz, Samy Bengio and Yves Grandvalet ). 12.1 Introduction. 12.2 Generative Approaches. 12.3 Discriminative Approaches. 12.4 Benchmarking Methodology. 12.5 Kernels for Speaker Verification. 12.6 Parameter Sharing. 12.7 Is the Margin Useful for This Problem? 12.8 Comparing all Methods. 12.9 Conclusion. References. 13 Spectral Clustering for Speech Separation ( Francis R. Bach and Michael I. Jordan ). 13.1 Introduction. 13.2 Spectral Clustering and Normalized Cuts. 13.3 Cost Functions for Learning the Similarity Matrix. 13.4 Algorithms for Learning the Similarity Matrix. 13.5 Speech Separation as Spectrogram Segmentation. 13.6 Spectral Clustering for Speech Separation. 13.7 Conclusions. References . Index.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Automatic speech recognition.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Keshet, Joseph.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bengio, Samy.
856 41 - ELECTRONIC LOCATION AND ACCESS
Materials specified Table of contents only
Uniform Resource Identifier <a href="http://www.loc.gov/catdir/toc/ecip0827/2008038551.html">http://www.loc.gov/catdir/toc/ecip0827/2008038551.html</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Reference text books
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     R-1/4 All India Institute of Speech and Hearing All India Institute of Speech and Hearing 25/01/2020   006.454 KESB 17519 25/01/2020 25/01/2020 Reference text books