Automatic speech and speaker recognition : (Record no. 6098)
[ view plain ]
| 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> |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | orignew |
| d | 1 |
| e | ecip |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Reference text books |
| 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 |