Raw Multi-Channel Audio Source Separation using Multi-Resolution Convolutional Auto-Encoders

2 Mar 2018Emad M. GraisDominic WardMark D. Plumbley

Supervised multi-channel audio source separation requires extracting useful spectral, temporal, and spatial features from the mixed signals. The success of many existing systems is therefore largely dependent on the choice of features used for training... (read more)

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