Title
MBNet: MOS Prediction for Synthesized Speech with Mean-Bias Network
Abstract
Mean opinion score (MOS) is a popular subjective metric to assess the quality of synthesized speech, and usually involves multiple human judges to evaluate each speech utterance. To reduce the labor cost in MOS test, multiple methods have been proposed to automatically predict MOS scores. To our knowledge, for a speech utterance, all previous works only used the average of multiple scores from dif...
Year
DOI
Venue
2021
10.1109/ICASSP39728.2021.9413877
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Keywords
DocType
ISBN
Training,Measurement,Correlation coefficient,Conferences,Training data,Signal processing,Acoustics
Conference
978-1-7281-7605-5
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Leng Yichong102.37
Xu Tan28823.94
Zhao, Sheng351.42
Frank K. Soong41395268.29
Xiang-Yang Li56855435.18
Tao Qin62384147.25