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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...
Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for BlindSource Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning...
With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models,...
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