TY  - BOOK
AU  - Mittag, Gabriel
TI  - Deep learning based speech quality prediction
SN  - 9783030914783
U1  - 006.454 MIT 
PY  - 2022///
CY  - Switzerland
PB  - Springer
KW  - Deep learning
KW  - Speech quality
N1  - 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
ER  -