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cs.SD2026
Exploring Pre-training Benefits on Phoneme Addition through Fine-tuning in Speech Synthesis
Masato Murata, Koichi Miyazaki, Tomoki Koriyama +1
Transfer learning is widely used for low-resource text-to-speech. When the target corpus contains phonemes unseen in pre-training, the model must expand its phoneme inventory durin…
cs.SD2026
Confidence-based Filtering for Speech Dataset Curation with Generative Speech Enhancement Using Discrete Tokens
Kazuki Yamauchi, Masato Murata, Shogo Seki
Generative speech enhancement (GSE) models show great promise in producing high-quality clean speech from noisy inputs, enabling applications such as curating noisy text-to-speech…