Mittag, Gabriel <br/><br/>
Deep learning based speech quality prediction / 
Gabriel Mittag 
 - Switzerland :  Springer,  2022. 
 - 165 p. 
<br/><br/>1 Introduction<br/><br/><br/><br/>2 Quality Assessment of Transmitted Speech<br/><br/><br/><br/>3 Neural Network Architectures for Speech Quality Prediction<br/><br/><br/><br/>4 Double-Ended Speech Quality Prediction Using Siamese Networks<br/><br/><br/><br/>5 Prediction of Speech Quality Dimensions With Multi-Task Learning<br/><br/><br/><br/>6 Bias-Aware Loss for Training From Multiple Datasets<br/><br/><br/><br/>7 NISQA - A Single-Ended Speech Quality Model<br/><br/><br/><br/>8 Conclusions<br/><br/><br/><br/>A Dataset Condition Tables<br/><br/><br/><br/>B Train and Validation Dataset Dimension Histograms<br/><br/><br/><br/>References 
<br/><br/><label>ISBN: </label>9783030914783 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Deep learning<br/>Speech quality
<br/><br/><label>Dewey Class. No.: </label>006.454 MIT