MohammadJRanjbar/ParsVoice
ParsVoice A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis 📣 Accepted to the EMNLP 2026 Main Conference. ParsVoice is the largest publicly available Persian speech–text corpus tailored for training multi-speaker text-to-speech (TTS) systems. It is built from long-form Persian audiobook recordings using a fully automated pipeline combining sentence-aware segmentation, ASR transcription, a ParsBERT sentence-completion classifier, binary-search… See the full description on the dataset page: https://huggingface.co/datasets/MohammadJRanjbar/ParsVoice.
| Author / organization | MohammadJRanjbar |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 3.4K (as reported by Hugging Face) |
| Likes | 37 |
| Created | 12 July 2025 |
| Last updated at source | 6 September 2026 |
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- MohammadJRanjbar/ParsVoice-XTTSModel · used to train
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