Deep Clustering and Conventional Networks for Music Separation: Stronger Together

Venue

Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 61–65

Publication Year

Keywords

approximation theory,audio separation,audio signal processing,conventional networks,deep clustering,Deep clustering,Deep learning,estimation theory,Instruments,Linear programming,music,music separation,Music separation,neural nets,pattern clustering,signal approximation,Singing voice separation,source separation,Source separation,source signal estimation,speaker independent speech separation,speaker recognition,Spectrogram,Speech,Time-frequency analysis,Training

Identifiers

• DOI: http://dx.doi.org/10.1109/ICASSP.2017.7952118