metadata

license: mit
library_name: safetensors
tags:
  - text-to-speech
  - tts
  - hindi
  - speech-synthesis
  - code
datasets:
  - SPRINGLab/IndicVoices-R_Hindi
language:
  - hi
model_type: F5-TTS
base_model:
  - SWivid/F5-TTS

Hindi TTS (Text-to-Speech, 24kHz)

Overview

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.

Key Features

Language: Hindi
Sampling Rate: 24 kHz

Training Data

The model was trained on the IndicVoices-R_Hindi dataset provided by IIT Madras.

Dataset Link: https://huggingface.co/datasets/SPRINGLab/IndicVoices-R_Hindi

Usage Instructions

Prerequisites

Ensure you have installed the necessary dependencies for the f5-tts_infer-cli. Refer to the GitHub repository for installation instructions:
https://github.com/rumourscape/F5-TTS

Example Usage

f5-tts_infer-cli \
--model "Futurix-AI/Hindi-TTS" \
--ref_audio "ref_audio.wav" \
--ref_text "यह संदर्भ ऑडियो का सामग्री, उपशीर्षक या लिप्यंतरण है।" \
--gen_text "यह एक उदाहरण है जो मॉडल से बोलने के लिए उत्पन्न किया गया है।"

Parameters:

--model: Replace "hindi_tts_checkpoint.pth" with the actual checkpoint file name.
--ref_audio: Path to the reference audio file (e.g., "ref_audio.wav").
--ref_text: Hindi text corresponding to the reference audio.
--gen_text: Hindi text for the TTS model to generate speech.