ملف الباحث
Takaaki Saeki
ورقة واحدة في مجموعة PaperMetrix
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Diversity-based core-set selection for text-to-speech with linguistic and acoustic features
2023 · arXiv (Cornell University)
This paper proposes a method for extracting a lightweight subset from a text-to-speech (TTS) corpus ensuring synthetic speech quality. In recent years, methods have been proposed for constructing large-scale TTS corpora by collecting diverse data …