RegaLabs-TTS: CosyVoice 3 Central Kurdish (Sorani) Adaptation

RegaLabs-TTS is a high-quality Central Kurdish (Sorani / سۆرانی) text-to-speech adaptation developed by RegaLabs based on CosyVoice 3.

• Hugging Face Model: RegaLabs/RegaLabs-TTS
• GitHub Repository: RegaLabs/RegaLabs-TTS

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🎧 Audio Example

Listen to a generated Sorani audio sample:

🔊 Download Sample Audio WAV

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📊 Dataset & Model Capabilities

• Dataset Volume: Trained on 53 hours of high-quality Sorani Kurdish speech data.
  • Male Speakers: ~35–40 hours.
  • Female Speakers: ~13–18 hours.
• Voice Cloning Performance:
  • Male Voices: Evaluated and tested — clones male voices flawlessly with high similarity, prosody accuracy, and natural tone.
  • Female Voices: Untested — zero-shot female voice cloning has not been evaluated yet.

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💻 Installation & Usage

1. Install via pip

pip install git+https://github.com/RegaLabs/RegaLabs-TTS.git

2. Download Model Weights & Run Inference

# 1. Clone base engine
git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git
cd CosyVoice
pip install -r requirements.txt

# 2. Clone RegaLabs-TTS model repo
git clone https://huggingface.co/RegaLabs/RegaLabs-TTS regalabs-tts-weights

# 3. Synthesize speech
python regalabs-tts-weights/infer.py \
  --text "سڵاو، بەخێربێن بۆ پڕۆژەی RegaLabs-TTS" \
  --prompt-wav regalabs-tts-weights/samples/aran_en021.wav \
  --prompt-text "ئەمە دەنگی نموونەیە" \
  --out output_sorani.wav

3. Launch Web Demo (Gradio)

python regalabs-tts-weights/app.py

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📦 Model Artifacts

• cosyvoice3_sorani_flow_best_step2300.pt — Sorani acoustic/flow adaptation model weights (Step 2300).
• cosyvoice3_sorani_flow_best_step2300.yaml — Matching flow architecture configuration.
• infer.py — Ready-to-run Sorani inference script.
• app.py — Gradio Web UI Live Demo script.
• samples/aran_en021.wav — Sample generated audio snippet.
• assets/ — Project banners & graphics.

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📜 License & Mandatory Attribution

• Model Checkpoint & Codebase: Licensed under Apache 2.0 by RegaLabs. Commercial and non-commercial use is fully allowed, provided mandatory credit for RegaLabs is included.
• Stock Voices & Audio Samples: Non-Commercial Use Only. Pre-packaged stock prompt voice samples and demo audio files (including samples in samples/) are strictly restricted to non-commercial use and prohibited for commercial voice cloning/redistribution.

📌 Credit & Attribution Guidelines

Any public use, generated media (videos, podcasts, audiobooks, broadcasts, or AI services), software, or derivative works utilizing RegaLabs-TTS MUST explicitly provide visible credit to RegaLabs:

• For Videos & Audio Content: Include in description/credits: "Voice synthesized using RegaLabs-TTS by RegaLabs" or "Audio powered by RegaLabs".
• For Applications & Software: Include attribution in application credits or about section.