Machine Learning for Speaker Recognition (Hardcover) (ISBN-13: 9781108428125)

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.

Author: Man-Wai Mak, Jen-Tzung Chien
ISBN-10: 1108428126
ISBN-13: 9781108428125
Publisher: Cambridge University Press
Language: English
Published: 01/07/2021
Pages: 334
Format: Hardcover
Weight: 1.70lbs
Size: 9.80h x 7.70w x 0.70d

Review Citation(s):
Choice 01/01/2022