deeplearningsourceseparation and DeepConvSep
About deeplearningsourceseparation
posenhuang/deeplearningsourceseparation
Deep Recurrent Neural Networks for Source Separation
This helps audio engineers and researchers isolate specific sounds from a mixed audio file. You input a single audio recording containing multiple sound sources, like a song with vocals and instruments, or speech with background noise. It then outputs separate audio tracks for each distinct sound source, such as an isolated vocal track or a clean speech recording.
About DeepConvSep
MTG/DeepConvSep
Deep Convolutional Neural Networks for Musical Source Separation
This tool helps musicians, audio engineers, and researchers separate individual sound sources from a mixed music track. You provide an audio file, and it outputs separate audio files for elements like vocals, bass, drums, or specific instruments. This is useful for anyone needing to isolate components of a musical recording for analysis, remixing, or educational purposes.
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