satvik-venkatesh/Wave-U-net-TF2
This repository implements the Wave-U-net architecture in TensorFlow 2
This project helps audio engineers, music producers, and sound designers separate individual instruments or vocals from a mixed audio track. You input a complete song or sound file, and it outputs the isolated audio tracks for each component, like drums, bass, or vocals. This is useful for remixing, remastering, or detailed sound analysis.
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Use this if you need to precisely isolate specific sound sources within a complex audio recording for tasks like remixing, sound design, or forensic audio analysis.
Not ideal if you're looking for a simple 'one-click' audio editing tool; this is geared towards users comfortable with a programmatic approach to audio processing.
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MIT
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Last pushed
Mar 16, 2021
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