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arXiv · 2310.02640

The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains

Erica Cooper·Wen-Chin Huang·Yu Tsao·Hsin-Min Wang·Tomoki Toda·Junichi Yamagishi
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Abstract

We present the second edition of the VoiceMOS Challenge, a scientific event that aims to promote the study of automatic prediction of the mean opinion score (MOS) of synthesized and processed speech. This year, we emphasize real-world and challenging zero-shot out-of-domain MOS prediction with three tracks for three different voice evaluation scenarios. Ten teams from industry and academia in seven different countries participated. Surprisingly, we found that the two sub-tracks of French text-to-speech synthesis had large differences in their predictability, and that singing voice-converted samples were not as difficult to predict as we had expected. Use of diverse datasets and listener information during training appeared to be successful approaches.

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Erica Cooper, Wen-Chin Huang, Yu Tsao, Hsin-Min Wang, Tomoki Toda, Junichi Yamagishi. 2023-10-04. The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains. https://arxiv.org/abs/2310.02640

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