| --- |
| license: cc-by-nc-sa-4.0 |
| language: |
| - zh |
| - en |
| tags: |
| - speech |
| pretty_name: voxbox |
| size_categories: |
| - 10M<n<100M |
| --- |
| |
| # VoxBox |
|
|
| This dataset is a curated collection of bilingual speech corpora annotated clean transcriptions and rich metadata incluing age, gender, and emotion. |
|
|
| ⚠️ Note: The audio files in `/audio` are still being uploaded and may not yet be fully available. Please check back later for complete access. |
|
|
| ## Dataset Structure |
|
|
| ```bash |
| . |
| ├── audios/ |
| │ └── aishell-3/ # Audio files (organised by sub-corpus) |
| │ └── ... |
| └── metadata/ |
| ├── aishell-3.jsonl |
| ├── casia.jsonl |
| ├── commonvoice_cn.jsonl |
| ├── ... |
| └── wenetspeech4tts.jsonl # JSONL metadata files |
| ``` |
|
|
| Each JSONL file corresponds to a specific corpus and contains one metadata record per audio sample. |
|
|
| ## Metadata Format |
|
|
| Each line in the *.jsonl files is a JSON object describing one audio sample. Below is a typical example: |
| |
| ```json |
| { |
| "index": "VCTK_0000044280", |
| "split": "train", |
| "language": "en", |
| "age": "Youth-Adult", |
| "gender": "female", |
| "emotion": "UNKNOWN", |
| "pitch": 180.626, |
| "pitch_std": 0.158, |
| "speed": 4.2, |
| "duration": 3.84, |
| "speech_duration": 3.843, |
| "syllable_num": 16, |
| "text": "Clearly, the need for a personal loan is written in the stars.", |
| "syllables": "K-L-IH1-R L-IY0 DH-AH0 N-IY1-D F-AO1 R-AH0 P-ER1 S-IH0 N-IH0-L L-OW1 N-IH1 Z-R-IH1 T-AH0 N-IH0-N DH-AH0-S T-AA1-R-Z", |
| "wav_path": "vctk/VCTK_0000044280.flac" |
| } |
| |
| ``` |
| The corresponding audio file is located inside the extracted .tar.gz archive. |
| |
| **Key Fields:** |
| |
| - `index`: Unique identifier for the audio sample. |
| - `split`: Train/test split. |
| - `language`: Language of the audio sample. Currently only English and Chinese are supported. |
| - `age`, `gender`, `emotion`: Speaker and utterance attributes |
| - `pitch`, `pitch_std`, `speed`: Acoustic features |
| - `duration`: Duration of the audio sample in seconds |
| - `speech_duration`: Duration of the speech in seconds by excluding silence in both ends. |
| - `syllable_num`: Number of syllables in the utterance |
| - `text`: Transcription of the utterance |
| - `syllables`: Syllable-level transcription |
| - `wav_path`: Path to the audio file |
| |
| |
| ## 📌 Licence & Attribution |
| |
| Please refer to the original licenses of each sub-corpus. This dataset merely aggregates and annotates the metadata in a unified structure for research purposes. |
| |
| |
| ## 📬 Citation |
| |
| If you use this file or its associated data in your research, please consider citing: |
| |
| ```bibtex |
| @article{wang2025spark, |
| title={Spark-tts: An efficient llm-based text-to-speech model with single-stream decoupled speech tokens}, |
| author={Wang, Xinsheng and Jiang, Mingqi and Ma, Ziyang and Zhang, Ziyu and Liu, Songxiang and Li, Linqin and Liang, Zheng and Zheng, Qixi and Wang, Rui and Feng, Xiaoqin and others}, |
| journal={arXiv preprint arXiv:2503.01710}, |
| year={2025} |
| } |
| ``` |
