Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement
Table 2: The MoS result in term of speech quality
['[EMPTY]', '[BOLD] Baseline', '[BOLD] Proposed']
It can be seen that with the proposed method, the speech quality of each speaker is improved compared with the baseline. The score value has improved by an average of 0.115. The results demonstrate that our model can synthesize higher quality speech with low-resource low-quality data. We speculate that this is due to the denoise Mel-spectrogram used directly by the baseline loses some voice information, which leads to the instability of speech synthesis.