Deep Clustering and Conventional Networks for Music Separation: Stronger Together

Venue

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 61-65

Publication Year

2017

Keywords

speaker recognition,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,Spectrogram,Speech,Time-frequency analysis,Training

Identifiers

Authors

  • Y. Luo
  • Z. Chen
  • J. R. Hershey
  • J. Le Roux
  • N. Mesgarani

Source Materials