xcmyz/FastSpeech
The Implementation of FastSpeech based on pytorch.
This project helps generate natural-sounding speech from text efficiently. You provide written text, and it produces high-quality audio that sounds like a human speaking, but much faster than traditional methods. This is ideal for anyone who needs to quickly create spoken audio from text, such as content creators, educators, or audiobook producers.
880 stars. No commits in the last 6 months.
Use this if you need to convert large amounts of text into speech with excellent quality and speed.
Not ideal if you need fine-grained control over speech emotion, intonation, or specific voice characteristics beyond standard synthesis.
Stars
880
Forks
216
Language
Python
License
MIT
Category
Last pushed
Jul 06, 2023
Commits (30d)
0
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