Machine Learning for Speaker Recognition Hardback
by Man-Wai (The Hong Kong Polytechnic University) Mak, Jen-Tzung (National Chiao Tung University, Taiwan) Chien
Hardback
- Information
Description
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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:334 pages, Worked examples or Exercises; 4 Tables, black and white; 4 Halftones, black and white; 12
- Publisher:Cambridge University Press
- Publication Date:19/11/2020
- Category:
- ISBN:9781108428125
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:334 pages, Worked examples or Exercises; 4 Tables, black and white; 4 Halftones, black and white; 12
- Publisher:Cambridge University Press
- Publication Date:19/11/2020
- Category:
- ISBN:9781108428125