This book presents how to apply recent machine learning (deep
learning) methods for the task of speech quality prediction. The
author shows how recent advancements in machine learning can be
leveraged for the task of speech quality prediction and provides an
in-depth analysis of the suitability of different deep learning
architectures for this task. The author then shows how the
resulting model outperforms traditional speech quality models and
provides additional information about the cause of a quality
impairment through the prediction of the speech quality dimensions
of noisiness, coloration, discontinuity, and loudness.
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