JaeBinCHA7/DEMUCS-for-Speech-Enhancement
We implemented the DEMUCS model for speech enhancement in the time-frequency domain, and additionally implemented HD-DEMUCS.
This project helps developers and researchers refine speech recordings by separating speech from background noise. It takes noisy speech audio files as input and outputs cleaner speech, significantly improving clarity. It is designed for those working with audio datasets in research or application development, enabling them to enhance the quality of spoken content.
No commits in the last 6 months.
Use this if you are a developer or researcher needing to programmatically remove unwanted background noise from speech audio.
Not ideal if you are an end-user looking for a ready-to-use application with a graphical interface for speech enhancement.
Stars
33
Forks
3
Language
Python
License
MIT
Category
Last pushed
Nov 08, 2023
Commits (30d)
0
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