Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency MaskEI

    Cited by: 22|Bibtex|43|

    ICASSP, 2018.

    Abstract:

    Singing voice separation based on deep learning relies on the usage of time-frequency masking. In many cases the masking process is not a learnable function or is not encapsulated into the deep learning optimization. Consequently, most of the existing methods rely on a post processing step using the generalized Wiener filtering. This work...More
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