000			01340 a2200205 4500
003			OSt
020			_a9781108428125
040			_cIIT Kanpur
041			_aeng
082			_a006.454 _bM289m
100			_aMak, Man-Wai
245			_aMachine learning for speaker recognition _cMan-Wai Mak and Jen-Tzung Chien
260			_bCambridge University Press _c2021 _aCambridge
300			_axviii, 309p
520			_aThis 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.
650			_aMachine learning
650			_aAutomatic speech recognition
700			_aChien, Jen-Tzung
942			_cBK
999			_c565103 _d565103