VoxBox

This dataset is a curated collection of bilingual speech corpora annotated clean transcriptions and rich metadata incluing age, gender, and emotion.

Dataset Structure

.
├── 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:

{
  "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

📚 More Information & Download Instructions

For detailed information about the dataset, including download scripts and usage instructions, please visit the official GitHub repository:

🔗 https://github.com/SparkAudio/VoxBox

📌 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:

@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}
}