Preface
Instrumental speech quality prediction is a long-studied field in which many models have been presented. However, in particular, the single-ended prediction without the use of a clean reference signal remains challenging. This book studies how recent developments in machine learning can be leveraged to improve the quality prediction of transmitted speech and additionally provide diagnostic information through the prediction of speech quality dimensions.
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