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portada Machine Learning for Speaker Recognition (in English)
Type
Physical Book
Year
2020
Language
English
Pages
334
Format
Hardcover
Dimensions
24.9 x 19.6 x 1.8 cm
Weight
0.77 kg.
ISBN13
9781108428125
Edition No.
1

Machine Learning for Speaker Recognition (in English)

Man-Wai Mak (Author) · Jen-Tzung Chien (Author) · Cambridge University Press · Hardcover

Machine Learning for Speaker Recognition (in English) - Mak, Man-Wai ; Chien, Jen-Tzung

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Synopsis "Machine Learning for Speaker Recognition (in 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.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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