Kani-TTS 400M v0.3 (Turkish Fine-tuned)
This model is a Turkish fine-tuned version of Kani-TTS 400M, adapted to the Turkish language using custom multi-speaker speech data collected from publicly available YouTube channels.
The primary goal of this fine-tuning is to improve Turkish pronunciation, prosody, and naturalness, enabling the base model to speak Turkish fluently.
🔊 Training Data
The training data was prepared via YouTube scraping and manual preprocessing (audio segmentation, cleaning, and transcript alignment).
🎤 Speakers
| Speaker Tag | Source Channel | Gender | Duration |
|---|---|---|---|
sıla | https://www.youtube.com/@BirDinle | Female | ~33 hours |
taha | https://www.youtube.com/@seslifikiristasyonu | Male | ~28 hours |
- Total duration: ~61 hours
- Language: Turkish (tr-TR)
- Domain: Narration / voice-over style speech
Speaker tags are explicitly used during training to enable multi-speaker inference.
🧠 Training Details
- Base model: Kani-TTS 400M
- Training type: Fine-tuning
- Objective:
- Improve Turkish language capability
- Adapt pronunciation and phoneme alignment
- Preserve speaker identity via speaker tags
- Data source: Publicly available YouTube content
- Audio length: ~3s – 20s segments
📜 License & Usage Notice (Academic / Non-Commercial)
This model is released strictly for academic research and experimental purposes.
- The model is not intended for commercial use.
- Commercial deployment, resale, or use in revenue-generating products or services is explicitly prohibited without prior permission.
- The training data was derived from publicly accessible online sources and was used for research and educational objectives only.
- Users are responsible for ensuring compliance with applicable laws, platform terms, and ethical guidelines when using this model.
By using this model, you agree that it is provided “as-is”, without warranties of any kind, and solely for non-commercial academic use.