Название: Machine Learning for Speaker Recognition Автор: Man-Wai Mak, Jen-Tzung Chien Издательство: Cambridge University Press Год: 2020 Формат: True PDF Страниц: 328 Размер: 13 Mb Язык: English
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.
Machine Learning and its Applications Название: Machine Learning and its Applications Автор: Peter Wlodarczak Издательство: CRC Press Год: 2020 Формат: true pdf/epub/mobi Страниц: 204...
Machine Learning for iOS Developers Название: Machine Learning for iOS Developers Автор: Abhishek Mishra Издательство: Wiley Год: 2020 Формат: True PDF Страниц: 336 Размер: 11.8 Mb...
Deep Learning for NLP and Speech Recognition Название: Deep Learning for NLP and Speech Recognition Автор: Uday Kamath, John Liu, James Whitaker Издательство: Springer Год: 2019 Страниц: 640 ...
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Machine Learning for Speaker Recognition 
