Automatic speech and speaker recognition : large margin and kernel methods

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Automatic speech and speaker recognition : large margin and kernel methods / [edited by] Joseph Keshet, Samy Bengio

資料種別:

図書

出版情報:

Chichester : John Wiley & Sons, 2009

形態:

xiii, 253 p. ; 26 cm

著者名:

ISBN:

9780470696835 [0470696834]

書誌ID:

BA90083825

子書誌情報

フルテキスト

所蔵情報

他の版・巻

書誌詳細

注記:

Includes bibliographical references and index

主題:

Automatic speech recognition

言語:

英語

目次情報:

List of Contributors

Preface

Foundations / I：

Introduction / Samy Bengio ; Joseph Keshet1：

The Traditional Approach to Speech Processing / 1.1：

Potential Problems of the Probabilistic Approach / 1.2：

Support Vector Machines for Binary Classification / 1.3：

Outline / 1.4：

References

Theory and Practice of Support Vector Machines Optimization / Shai Shalev-Shwartz ; Nathan Srebo2：

SVM and L2-regularized Linear Prediction / 2.1：

Optimization Accuracy From a Machine Learning Perspective / 2.3：

Stochastic Gradient Descent / 2.4：

Dual Decomposition Methods / 2.5：

Duality / 2.5.1：

Summary / 2.6：

From Binary Classification to Categorial Prediction / Koby Crammer3：

Multi-category Problems / 3.1：

Hypothesis Class / 3.2：

Loss Functions / 3.3：

Hinge Loss Functions / 3.4：

A Generalized Perceptron Algorithm / 3.5：

A Generalized Passive-Aggressive Algorithm / 3.6：

A Batch Formulation / 3.7：

Concluding Remarks / 3.8：

Appendix / 3.9：

Derivations of the Duals of the Passive-Aggressive Algorithm and the Batch Formulation

Acoustic Modeling / II：

A Large Margin Algorithm for Forced Alignment / Yoram Singer ; Dan Chazan4：

Problem Setting / 4.1：

Cost and Risk / 4.3：

ALarge Margin Approach for Forced Alignment / 4.4：

An Iterative Algorithm / 4.5：

Efficient Evaluation of the Alignment Function / 4.6：

Base Alignment Functions / 4.7：

Experimental Results / 4.8：

Discussion / 4.9：

A Kernel Wrapper for Phoneme Sequence Recognition / 5：

Frame-based Phoneme Classifier / 5.1：

Kernel-based Iterative Algorithm for Phoneme Recognition / 5.4：

Nonlinear Feature Functions / 5.5：

Preliminary Experimental Results / 5.6：

Discussion: Canwe Hope for Better Results? / 5.7：

Augmented Statistical Models: Using Dynamic Kernels for Acoustic Models / Mark J. F. Gales6：

Temporal Correlation Modeling / 6.1：

Dynamic Kernels / 6.3：

Augmented Statistical Models / 6.4：

Conclusions / 6.5：

Acknowledgements

Large Margin Training of Continuous Density Hidden Markov Models / Fei Sha ; Lawrence K. Saul7：

Background / 7.1：

Large Margin Training / 7.3：

Conclusion / 7.4：

Language Modeling / III：

A Survey of Discriminative Language Modeling Approaches for Large Vocabulary Continuous Speech Recognition / Brian Roark8：

General Framework / 8.1：

Further Developments / 8.3：

Summary and Discussion / 8.4：

Large Margin Methods for Part-of-Speech Tagging / Yasemin Altun9：

<$$$> / 9.1：

List of Contributors

Preface

Foundations / I：

Introduction / Samy Bengio ; Joseph Keshet1：

The Traditional Approach to Speech Processing / 1.1：

Potential Problems of the Probabilistic Approach / 1.2：

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