Web: http://arxiv.org/abs/2011.01174

Jan. 12, 2022, 2:10 a.m. | Yeunju Choi, Youngmoon Jung, Youngjoo Suh, Hoirin Kim

cs.LG updates on arXiv.org arxiv.org

Although recent neural text-to-speech (TTS) systems have achieved
high-quality speech synthesis, there are cases where a TTS system generates
low-quality speech, mainly caused by limited training data or information loss
during knowledge distillation. Therefore, we propose a novel method to improve
speech quality by training a TTS model under the supervision of perceptual
loss, which measures the distance between the maximum possible speech quality
score and the predicted one. We first pre-train a mean opinion score (MOS)
prediction model and then train a TTS model to maximize the MOS of …

arxiv for learning mos neural prediction speech text

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