Machine Learning for Speaker Recognition

Explore the cutting-edge world of speaker recognition with Machine Learning for Speaker Recognition by Man-Wai Mak, published by Cambridge University Press in 2020. This comprehensive guide spans 334 pages and delves into both fundamental and advanced statistical and deep learning models, providing readers with the essential tools needed for robust speaker recognition and effective domain adaptation.

This invaluable resource is tailored for graduates, researchers, and engineers in the fields of electrical engineering, computer science, and applied mathematics. With a focus on state-of-the-art machine learning techniques, it equips professionals with the knowledge to excel in the rapidly evolving landscape of speaker recognition technology. Whether you're looking to deepen your understanding or enhance your practical skills, this book is an indispensable addition to your library.