Text-to-Speech
F5-TTS
Hindi
F5-Hindi-24KHz / README.md
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metadata
license: cc-by-4.0
library_name: f5-tts
datasets:
  - SPRINGLab/IndicTTS-Hindi
  - SPRINGLab/IndicVoices-R_Hindi
language:
  - hi
pipeline_tag: text-to-speech
widget:
  - text: >-
      उसके दोस्त, प्रेमिकाएँ, और रिश्तेदार, उसे इसी नाम से बुलाते थे, और वो भी,
      अक्सर समझ जाता था, कि क्वैं उसी को संबोधित है
    output:
      url: samples/output1.wav
  - text: >-
      इस बागीचे में, आप शुरू से अन्त तक घूम आइये, तो दुनिया भर की सुन्दर चीज़ों
      के साथ, एक अनन्यता महसूस करेंगें
    output:
      url: samples/output2.wav
  - text: >-
      शिवगढ़ी गाँव, एक बड़ा गाँव था, और उसमेँ सबसे बड़ा मकान, पण्डित दुर्गाशङ्कर
      श्रीमुख का था
    output:
      url: samples/output3.wav

F5-TTS Hindi 24KHz Model

This is a Hindi Text-to-Speech model trained from scratch using the F5 architecture.

Details

  • Developed by: SPRING Lab, Indian Institute of Technology, Madras
  • Language: Hindi
  • License: CC-BY-4.0

Uses

The model was developed and is primarily intended for research purposes.

How to Get Started with the Model

Clone the following github repo and refer to the README: https://github.com/rumourscape/F5-TTS

Training Details

The model was trained on 8x A100 40GB GPUs for close to a week. We would like to thank CDAC for providing the compute resources.

We used the "small" configuration(151M parameter) model for training according to the F5 paper.

Training Data

We used the Hindi subsets of IndicTTS and IndicVoices-R datasets for training this model.