MSQAT: A multi-dimension non-intrusive speech quality assessment transformer utilizing self-supervised representations-Reference-Cited by-同舟云学术

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MSQAT: A multi-dimension non-intrusive speech quality assessment transformer utilizing self-supervised representations

Published:2023-09 Issue: Volume:212 Page:109584
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Shen Kailai^ORCID,Yan Diqun^ORCID,Dong Li

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference51 articles.

1. Deep learning based speech quality prediction;Mittag,2022

2. Evaluation of objective quality measures for speech enhancement;Hu;IEEE Trans Audio Speech Lang Process,2008

3. Subjective evaluation of several efficient speech coders;Daumer;IEEE Trans Commun,1982

4. Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs;Rix,2001

5. P. 563—the ITU-T standard for single-ended speech quality assessment;Malfait;IEEE Trans Audio Speech Lang Process,2006

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Perspective Transfer Learning for Automatic MOS Prediction of Low Resource Language;2024 International Conference on Asian Language Processing (IALP);2024-08-04

2. Non-intrusive speech quality assessment: A survey;Neurocomputing;2024-05

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