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# Hindi TTS (Text-to-Speech, 24kHz)
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## Overview
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Hindi TTS is a high-quality Text-to-Speech model developed using the F5 TTS architecture. Built by FuturixAI and Quantum Works, this model enables natural-sounding Hindi speech synthesis and is distributed under the MIT license. It is intended for both research and commercial applications.
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## Key Features
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- **Language:** Hindi
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- **Sampling Rate:** 24 kHz
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## Training Data
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The model was trained on the **IndicVoices-R_Hindi** dataset provided by IIT Madras.
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- Dataset Link: [https://huggingface.co/datasets/SPRINGLab/IndicVoices-R_Hindi](https://huggingface.co/datasets/SPRINGLab/IndicVoices-R_Hindi)
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## Usage Instructions
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### Prerequisites
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Ensure you have installed the necessary dependencies for the `f5-tts_infer-cli`. Refer to the GitHub repository for installation instructions:
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[https://github.com/rumourscape/F5-TTS](https://github.com/rumourscape/F5-TTS)
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### Example Usage
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```bash
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f5-tts_infer-cli \
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--model "hindi_tts_checkpoint.pth" \
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--ref_audio "ref_audio.wav" \
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--ref_text "यह संदर्भ ऑडियो का सामग्री, उपशीर्षक या लिप्यंतरण है।" \
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--gen_text "यह एक उदाहरण है जो मॉडल से बोलने के लिए उत्पन्न किया गया है।"
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```
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#### Parameters:
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- **`--model`**: Replace "hindi_tts_checkpoint.pth" with the actual checkpoint file name.
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- **`--ref_audio`**: Path to the reference audio file (e.g., "ref_audio.wav").
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- **`--ref_text`**: Hindi text corresponding to the reference audio.
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- **`--gen_text`**: Hindi text for the TTS model to generate speech.
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---
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license: mit
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---
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