A Comparison of Deep Learning MOS Predictors for Speech Synthesis Quality

no code implementations • 5 Apr 2022 • Alessandro Ragano, Emmanouil Benetos, Michael Chinen, Helard B. Martinez, Chandan K. A. Reddy, Jan Skoglund, Andrew Hines

In this paper, we evaluate several MOS predictors based on wav2vec 2. 0 and the NISQA speech quality prediction model to explore the role of the training data, the influence of the system type, and the role of cross-domain features in SSL models.

Benchmarking Self-Supervised Learning +1