seorim0/DNN-based-Speech-Enhancement-in-the-frequency-domain
DNN-based SE in the frequency domain using Pytorch. You can test some state-of-the-art networks using T-F masking or spectral mapping method.
This tool helps improve the clarity of noisy audio recordings by separating speech from background noise. You provide audio files containing speech mixed with various noises, and it outputs enhanced audio where the speech is much clearer. This is ideal for researchers or engineers working on voice applications who need to clean up audio data for further analysis or use.
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Use this if you need to significantly reduce background noise in speech recordings for tasks like voice assistant development, audio forensics, or call center analytics.
Not ideal if you need a plug-and-play solution without deep learning training, or if you're dealing with music or non-speech audio enhancement.
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58
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16
Language
Python
License
MIT
Category
Last pushed
Apr 02, 2022
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