Realistic Air language support

Note: Quality varies by language; benchmark coverage differs from the supported-language list. Per-language results.

Realistic Air quick start

Use Python 3.10+ and a CUDA-capable GPU. Run from the repository root. The explicit model ID selects Realistic Air independently of the scripts' existing Preview default.

git clone https://github.com/Edge0-AI/Audio8_TTS.git
cd Audio8_TTS
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

python audio8_tts_infer.py \
  --model Edge0/Audio8-TTS-Realistic-Air \
  --text "Welcome to Audio8 TTS. It is wonderful to hear from you." \
  --output outputs/realistic.wav

For voice cloning, add --reference-audio reference.wav --reference-text "The exact transcript of the recording.".

Installation, cloning and batch inference · Supervised fine-tuning

0.6B evaluation summary

Error rates are percentages (lower is better). SIM uses a 0–1 scale (higher is better). Neither directly measures speech realism.

Audio8-TTS-Preview and Audio8-TTS-Realistic-Air, both 0.6B:

Note: Values are unweighted language macro averages. Preview results are calculated from its published model card, with SIM converted from percentages to a 0–1 scale. The two releases were evaluated separately. A dash means the corresponding result was not reported on Preview's card.

Seed-TTS averages English WER and Chinese CER, excluding hard Chinese. The shared CV3 subset is Chinese, English, Japanese, Korean, German, French, Spanish, and Italian; the 9-language set also includes Russian. CV3 averages exclude hard subsets and the 13 additional languages. MiniMax averages all 24 evaluated languages, including languages outside the supported list.

Full Realistic Air evaluation and comparison notes · Original Preview evaluation

Realistic Air builds on Preview. The original checkpoint, 11-language coverage, evaluation, and listening page remain available for Preview users.