rishikksh20/FastSpeech2
PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech
This project helps creators and businesses generate natural-sounding spoken audio from written text. You provide text, and it produces high-quality audio files that mimic human speech, useful for voiceovers, audiobooks, or virtual assistants. It's designed for anyone needing to convert written content into lifelike spoken audio quickly.
233 stars. No commits in the last 6 months.
Use this if you need to transform written scripts or digital text into high-quality, synthesized speech for various applications.
Not ideal if you need a full voice cloning solution or an extremely optimized, production-ready system without further development.
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233
Forks
52
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 22, 2022
Commits (30d)
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