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DDOS: A MOS Prediction Framework utilizing Domain Adaptive Pre-training and Distribution of Opinion Scores. (arXiv:2204.03219v2 [eess.AS] UPDATED)
cs.LG updates on arXiv.org arxiv.org
Mean opinion score (MOS) is a typical subjective evaluation metric for speech
synthesis systems. Since collecting MOS is time-consuming, it would be
desirable if there are accurate MOS prediction models for automatic evaluation.
In this work, we propose DDOS, a novel MOS prediction model. DDOS utilizes
domain adaptive pre-training to further pre-train self-supervised learning
models on synthetic speech. And a proposed module is added to model the opinion
score distribution of each utterance. With the proposed components, DDOS
outperforms previous …
arxiv ddos distribution framework mos opinion prediction pre-training training