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.