Machine Learning for Speaker Recognition
Book Details
Format
Hardback or Cased Book
ISBN-10
1108428126
ISBN-13
9781108428125
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 19th, 2020
Print length
334 Pages
Weight
756 grams
Dimensions
17.60 x 25.00 x 2.10 cms
Ksh 16,750.00
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Understand fundamental and advanced statistical and deep learning models for robust speaker recognition and domain adaptation. Presenting state-of-the-art machine learning techniques for speaker recognition, this useful toolkit is perfect for graduates, researchers, and engineers in electrical engineering, computer science and applied mathematics.
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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