---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: audio_filename
    dtype: string
  - name: text
    dtype: string
  - name: voice_id
    dtype: string
  - name: audio
    dtype:
      audio:
        decode: false
  splits:
  - name: train
    num_bytes: 165955597080
    num_examples: 664125
  download_size: 157800059320
  dataset_size: 165955597080
language:
- vi
tags:
- vietnamese
- synthetic
- audio
- tts
size_categories:
- 100K<n<1M
---
# *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](mailto:nguyenvinhhuy@dtu.edu.vn)
*Nguyen Dinh Thuan* — [boyphuthien115@gmail.com](mailto:boyphuthien115@gmail.com)

@dataset{dolly_audio_2025,
  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.