HarshBhanushali7705/TTS_for_gujarati_language

🗣️ F5-TTS for Gujarati (24000 Iterations)

This is a fine-tuned F5-TTS model on the Gujarati language using the IIT Madras Indic TTS Dataset.

• Base Model: SWivid/F5-TTS
• Language: Gujarati (gu)
• Training Steps: 24000
• Sampling Rate: 22050 Hz
• License: GPL-3.0

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🧠 Model Details

This model is fine-tuned for Gujarati speech synthesis and is part of efforts to expand high-quality TTS to low-resource Indian languages. The model uses Tacotron-based architecture with attention and vocoder backend.

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👥 Contributors

• Harsh Bhanushali
• Harsh Ahir (🤗 Hugging Face: Ahir4)

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📦 Files

• model_24000.pt – Fine-tuned model checkpoint
• config.json – Model configuration (sampling rate, layers, etc.)
• inference.py – Example inference script
• assets/sample_output.wav – Optional audio sample

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🔧 How to Use

Install dependencies

pip install torch torchaudio numpy