XRXRX/X-Voice-Testset

X-Voice Multilingual Test Set

High-Fidelity Test Set for Multilingual Text-to-Speech across 30 Languages

This test set is built as part of the research: X-Voice: One Speaker, 30+ Languages with Zero-Shot Voice Cloning, serving as the evaluation benchmark for our model.

Dataset Summary

• 30 languages
  • European: bg (Bulgarian), cs (Czech), da (Danish), de (German), el (Greek), en (English), es (Spanish), et (Estonian), fi (Finnish), fr (French), hr (Croatian), hu (Hungarian), it (Italian), lt (Lithuanian), lv (Latvian), mt (Maltese), nl (Dutch), pl (Polish), pt (Portuguese), ro (Romanian), ru (Russian), sk (Slovak), sl (Slovenian), sv (Swedish).
  • Asian: id (Indonesian), ja (Japanese), ko (Korean), th (Thai), vi (Vietnamese), zh (Chinese).
• 500 utterances per language from over 100 speakers (15,000 utterances in total).
• Audio format: 24kHz mono WAV.
• Each sample includes human-recorded ground-truth audio.
• Primarily constructed from Common Voice. Vietnamese data from Dolly-Audio, Korean from Emilia, Croatian from ParlaSpeech-HR.

Curation Pipeline

1. Temporal and speaking rate filtering
2. Silero VAD for speech segmentation and silence trimming
3. ECAPA-TDNN speaker verification (cosine similarity ≥ 0.6) to ensure consistent speakers between prompt and reference audio

Data Structure

X-Voice-TestSet/zero_shot
├── bg/
│   ├── ground_truth/  # 📂 Folder for human-recorded ground-truth audio
│   ├── waveform/      # 📂 Folder for prompt reference audio
│   ├── gt_wav.scp     # 📄 Index file for ground-truth audio (utt_id /path/to/gt.wav)
│   ├── prompt_text    # 📄 Prompt text file (utt_id prompt_content)
│   ├── prompt_wav.scp # 📄 Index file for prompt audio (utt_id /path/to/prompt.wav)
│   └── text           # 📄 Target text file (utt_id target_content)
├── cs/
│   └── ...            # Same structure as bg/
├── da/
│   └── ...
...
└── zh/
    └── ...            # Same structure as bg/

License

This dataset contains data from multiple sources, each with its own license. Users must comply with the license of each individual sub-dataset they use.

Dataset	License	Commercial Use
CommonVoice	CC0-1.0	Yes
ParlaSpeech-HR	CC BY-SA 4.0	Yes
Dolly-Audio	CC BY-NC-SA 4.0	No

Citation

If you use this benchmark, please cite our work.