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Machine Learning for Speaker Recognition (Hardcover)

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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.

Product Details
ISBN: 9781108428125
ISBN-10: 1108428126
Publisher: Cambridge University Press
Publication Date: November 19th, 2020
Pages: 334
Language: English
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Created At: 2/23/2020 03:30pm
Last Updated At: 5/21/2022 04:47am