Rongjiehuang/GenerSpeech
PyTorch Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice.
This tool helps content creators and voice artists produce natural-sounding speech from text, infused with specific emotional styles. You provide written text and a short audio clip demonstrating the desired voice and emotion, and it generates an audio file of the text spoken in that unique style. It's ideal for anyone needing highly customized voiceovers without hiring a voice actor for every piece of content.
330 stars. No commits in the last 6 months.
Use this if you need to create voiceovers or audio content where the voice's emotional tone and style must precisely match a reference audio clip, even for voices you haven't used before.
Not ideal if you only need standard, generic text-to-speech voices without any specific style or emotion transfer.
Stars
330
Forks
41
Language
Python
License
MIT
Category
Last pushed
Feb 09, 2024
Commits (30d)
0
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