kani-tts-400m-0.3-tr

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.

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🔊 Training Data

The training data was prepared via YouTube scraping and manual preprocessing (audio segmentation, cleaning, and transcript alignment).

🎤 Speakers

• 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.

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🧠 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

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📜 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.