00917nam a22001577a 4500 19224 19224 9783030914783 006.454 MIT Mittag, Gabriel Deep learning based speech quality prediction / Gabriel Mittag Switzerland : Springer, 2022. 165 p. 1 Introduction 2 Quality Assessment of Transmitted Speech 3 Neural Network Architectures for Speech Quality Prediction 4 Double-Ended Speech Quality Prediction Using Siamese Networks 5 Prediction of Speech Quality Dimensions With Multi-Task Learning 6 Bias-Aware Loss for Training From Multiple Datasets 7 NISQA - A Single-Ended Speech Quality Model 8 Conclusions A Dataset Condition Tables B Train and Validation Dataset Dimension Histograms References Deep learning Speech quality RFT 0 0 0 0 R-1/4 AIISH AIISH 2023-01-19 0 006.454 MIT 23149 2023-01-19 00:00:00 2023-01-19 RFT