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papersTODAY 04:00 UTC

ParsVoice: Large Multi-Speaker Persian Speech Corpus for Text-to-Speech

Researchers released ParsVoice, described as the largest publicly available multi-speaker Persian speech corpus, aimed at addressing the scarcity of open speech-text data for the language. The dataset is intended to support work on multi-speaker text-to-speech, speech-language modeling, and other low-resource speech tasks. The paper was posted to arXiv under computer science categories.

arXiv ParsVoice Persian-language NLP Text-to-speech low-resource speech processing multi-speaker speech synthesis

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis ↗TODAY 04:00 UTC

arXiv cs.LGParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis ↗TODAY 04:00 UTC