fnooub/dolly-audio-1000h-vietnamese
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下载链接:
https://hf-mirror.com/datasets/fnooub/dolly-audio-1000h-vietnamese
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资源简介:
---
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.
configs:
- 配置名称:default
数据文件:
- 拆分集:训练集
路径:data/train-*
dataset_info:
特征:
- 字段名:audio_filename,数据类型:字符串
- 字段名:text,数据类型:字符串
- 字段名:voice_id,数据类型:字符串
- 字段名:audio,数据类型:
音频:
解码:否
拆分集:
- 名称:训练集,总字节数:165955597080,样本数量:664125
下载大小:157800059320
数据集总大小:165955597080
语言:
- 越南语
tags:
- 越南语
- 合成数据
- 音频
- 文本转语音(Text-to-Speech, TTS)
size_categories:
- 10万 < 样本数 < 100万
---
# *Dolly-Audio:越南语多说话人高质量语音语料库*
## *数据集概述*
*Dolly-Audio* 是由 *Dolly AI团队* 打造的大规模高质量越南语语音语料库。本项目得名于世界首只克隆哺乳动物多莉,旨在推动越南语语音合成、语音识别与说话人建模领域的研究。
本次发布的语料包含近1000小时经专业清洗的音频数据,涵盖越南各地区的152名说话人,且包含多元说话风格。文本转录覆盖多元领域,以确保语言多样性与模型鲁棒性。
---
## *核心特性*
* 近1000小时高质量越南语语音数据
* 152名覆盖越南各地区、口音与说话风格多元的多说话人
* 经专业清洗的无噪音频,无背景音乐干扰
* 针对自然韵律完成句级边界裁剪
* 丰富的转录文本领域(涵盖新闻、娱乐、教育、会话等场景)
* 经人工抽样估算,词错误率(Word Error Rate, WER)接近0(≈0%)
* 适用于文本转语音(TTS)、自动语音识别(ASR)、说话人克隆及语音相关研究
---
## *预期用途*
本数据集适用于:
* 多说话人文本转语音(TTS)
* 自动语音识别(ASR)
* 说话人克隆与说话人适配
* 韵律建模
* 语言学与语音学研究
根据许可协议,商业使用不被允许。
---
## *使用限制*
* 仅可用于非商业性研究用途
* 重新分发需遵守 *CC-BY-NC-SA-4.0* 协议
* 用户需自行验证数据集是否适配自身研究任务
* 申请访问需提供机构邮箱以完成审批
---
## *引用方式*
若您在研究中使用*Dolly-Audio*,请引用如下创作者:
*阮文惠(Nguyen Vinh Huy)* — [nguyenvinhhuy@dtu.edu.vn](mailto:nguyenvinhhuy@dtu.edu.vn)
*阮丁顺(Nguyen Dinh Thuan)* — [boyphuthien115@gmail.com](mailto:boyphuthien115@gmail.com)
bibtex
@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.}
}
---
## *联系方式*
如需申请访问或咨询,请通过上述邮箱与维护者联系。
提供机构:
fnooub


