Machine Learning for Speaker Recognition
Author | : Man-Wai Mak |
Publisher | : Cambridge University Press |
Total Pages | : 329 |
Release | : 2020-11-19 |
ISBN-10 | : 9781108642866 |
ISBN-13 | : 1108642861 |
Rating | : 4/5 (861 Downloads) |
Download or read book Machine Learning for Speaker Recognition written by Man-Wai Mak and published by Cambridge University Press. This book was released on 2020-11-19 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.