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bonelag/vi1000h

Dolly-Audio: Vietnamese Multi-Speaker High-Quality Speech Corpus Dataset Summary Dolly-Audio is a large-scale, high-quality Vietnamese speech corpus created by the Dolly AI Team. Inspired by Dolly, the world’s first cloned mammal, the project aims to advance research in Vietnamese speech synthesis, speech recognition, and voice modeling. This release provides nearly 1,000 hours of professionally cleaned audio, featuring 152 speakers across different Vietnamese… See the full description on the dataset page: https://huggingface.co/datasets/bonelag/vi1000h.

sourceHugging Faceupdated 15d agoView on Hugging Face
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Dataset Card

Dolly-Audio: Vietnamese Multi-Speaker High-Quality Speech Corpus

Dataset Summary

Dolly-Audio is a large-scale, high-quality Vietnamese speech corpus created by the Dolly AI Team. Inspired by Dolly, the world’s first cloned mammal, the project aims to advance research in Vietnamese speech synthesis, speech recognition, and voice modeling.

This release provides nearly 1,000 hours of professionally cleaned audio, featuring 152 speakers across different Vietnamese regions and speaking styles. Text transcripts span a wide variety of domains to ensure linguistic diversity and model robustness.

Key Features

  • —~1,000 hours of high-quality Vietnamese speech
  • —152 multi-region speakers with diverse accents
  • —Cleaned, noise-free audio; no background music
  • —Sentence-level boundary trimming for natural prosody
  • —Rich transcript domains (news, entertainment, education, conversational, etc.)
  • —Estimated near-zero WER (≈ 0%) from manual sampling
  • —Suitable for TTS, ASR, voice cloning, and speech research

Intended Use

The dataset is ideal for:

  • —Multi-speaker text-to-speech (TTS)
  • —Automatic speech recognition (ASR)
  • —Voice cloning and speaker adaptation
  • —Prosody modeling
  • —Linguistic and phonetic research

Commercial use is not permitted under the license.

Usage Restrictions

  • —Non-commercial research use only
  • —Redistribution must comply with CC-BY-NC-SA-4.0
  • —Users must verify dataset suitability for their research task
  • —Institutional email required for access approval

Citation

If you use Dolly-Audio in your research, please credit the creators:

Nguyen Vinh Huy — nguyenvinhhuy@dtu.edu.vn Nguyen Dinh Thuan — boyphuthien115@gmail.com

@dataset{dollyaudio2025, title = {Dolly-Audio: Vietnamese Multi-Speaker High-Quality Speech Corpus}, author = {Nguyen, Vinh Huy and Nguyen, Dinh Thuan}, year = {2025}, publisher = {Dolly AI Team}, howpublished = {\url{https://huggingface.co/datasets/Dolly-AI/Dolly-Audio}}, note = {Released under CC-BY-NC-SA-4.0. Research use only.} }

Contact

For access requests or inquiries, please contact the maintainers via the emails above.