00828nam a22001337a 4500020001800000082001600018100002000034245006800054260003600122300001100158505048800169650001800657650001900675  a9783030914783  a006.454 MIT  aMittag, Gabriel  aDeep learning based speech quality prediction /cGabriel Mittag  aSwitzerland :bSpringer,c2022.  a165 p.  a1 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  aDeep learning  aSpeech quality