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Machine Learning for Speaker Recognition

Machine Learning for Speaker Recognition

Machine Learning for Speaker Recognition
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Machine Learning for Speaker Recognition Hardback - 2020

by Mak, Man-Wai; Chien, Jen-Tzung

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Details

  • Title Machine Learning for Speaker Recognition
  • Author Mak, Man-Wai; Chien, Jen-Tzung
  • Binding Hardback
  • Condition New
  • Pages 334
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2020-11-19
  • Features Bibliography, Index
  • Bookseller's Inventory # 40973292-n
  • ISBN 9781108428125 / 1108428126
  • Weight 1.7 lbs (0.77 kg)
  • Dimensions 9.8 x 7.7 x 0.7 in (24.89 x 19.56 x 1.78 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Automatic speech recognition, Machine learning
  • Library of Congress Catalogue Number 2019051262
  • Dewey Decimal Code 006.454
  • Quantity available 5

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Reader reviews for Machine Learning for Speaker Recognition

From the publisher

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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Citations

  • Choice, 01/01/2022, Page 0
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