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AnhTuan89/dolly-audio-1000h-vietnamese

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Hugging Face2026-03-06 更新2026-03-29 收录
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https://hf-mirror.com/datasets/AnhTuan89/dolly-audio-1000h-vietnamese
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--- 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.

配置项: - 配置名称:default 数据文件: - 数据集划分:train 文件路径:data/train-* 数据集信息: 特征: - 名称:audio_filename(音频文件名) 数据类型:字符串 - 名称:text(文本) 数据类型:字符串 - 名称:voice_id(说话人ID) 数据类型:字符串 - 名称:audio(音频) 数据类型: audio: 解码:false 数据集划分: - 划分名称:train 数据字节数:165955597080 样本数量:664125 下载大小:157800059320 数据集总大小:165955597080 语言: - vi(越南语) 标签: - 越南语(vietnamese) - 合成语音(synthetic) - 音频(audio) - 文本到语音合成(Text-to-Speech, TTS) 样本量范围: - 100K<n<1M # 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。本项目以全球首只克隆哺乳动物多莉(Dolly)命名,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进展。 本次发布的语料包含近1000小时经过专业降噪处理的音频,涵盖来自越南不同地区、具备多样说话风格的152位说话人。文本转录覆盖多元领域,以保障语言多样性与模型鲁棒性。 ## 核心特性 - 约1000小时高质量越南语语音 - 152位来自多地区、口音各异的说话人 - 经降噪处理的无噪音频,无背景音乐干扰 - 句子级边界裁剪,确保自然的韵律表现 - 丰富的转录文本领域(涵盖新闻、娱乐、教育、日常对话等) - 经人工抽样评估,词错误率(Word Error Rate, WER)接近0%(≈0%) - 适用于文本到语音合成(Text-to-Speech, TTS)、自动语音识别(Automatic Speech Recognition, ASR)、说话人克隆及语音研究领域 ## 适用场景 本数据集适用于: - 多说话人文本到语音合成(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 根据授权协议,禁止商业使用。 ## 使用限制 - 仅可用于非商业性研究用途 - 重新分发需遵循 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 - 申请获取数据集需提供机构邮箱以通过审核 ## 引用格式 若您在研究中使用 Dolly-Audio 数据集,请引用以下创作者: *Nguyen Vinh Huy* — [nguyenvinhhuy@dtu.edu.vn](mailto:nguyenvinhhuy@dtu.edu.vn) *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 如需申请数据集访问或咨询相关问题,请通过上述邮箱联系维护人员。
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