Deep learning based speech quality prediction / Gabriel Mittag
Material type:
TextPublication details: Switzerland : Springer, 2022.Description: 165 pISBN: - 9783030914783
- 006.454 MIT
Contents:
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
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reference text books | All India Institute of Speech and Hearing | R-1/4 | 006.454 MIT (Browse shelf(Opens below)) | Available | 23149 |
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| 006.454 LOI Speech enhancement : theory and practice / | 006.454 MAR Spoken language processing / | 006.454 MAR Spoken language processing / | 006.454 MIT Deep learning based speech quality prediction / | 006.454 NOL The phonetic bases of speaker recognition / | 006.454 PEL Voice processing / | 006.54 FAN Speech acoustics and phonetics : |
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
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