Machine Learning for Speaker Recognition
eBook - PDF

Machine Learning for Speaker Recognition

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Machine Learning for Speaker Recognition

About this book

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.

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Yes, you can access Machine Learning for Speaker Recognition by Man-Wai Mak,Jen-Tzung Chien in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Contents
  6. Preface
  7. List of Abbreviations
  8. Notations
  9. Part I Fundamental Theories
  10. Part II Advanced Studies
  11. Appendix: Exercises
  12. References
  13. Index