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Structure Before Sampling: Community-Aware Core-Set Selection for Data-Efficient Text-to-Speech

Maruf, Mizbaul Haque et al.
arXiv (All) · Papers
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computation-and-language
Text-to-speech (TTS) corpora are costly to record, yet many utterances add little new phonetic information. Core-set selection reduces this cost by choosing a small training subset under a fixed audio-duration budget. We represent a corpus as a phonotactic graph that links each utterance to its most
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