Singing-voice separation from monaural recordings using deep recurrent neural networks

Proceedings of the 15th International Society for Music Information Retrieval Conference, ISMIR 2014

Volumn , Issue , 2014, Pages 477-482

  Huang, Po Sen ^a   Kim, Minje ^b   Hasegawa Johnson, Mark ^a   Smaragdis, Paris ^a,b,c  

^a United States of America   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c ADOBE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO RECORDINGS; DEEP NEURAL NETWORKS; INFORMATION RETRIEVAL; SEPARATION; SOURCE SEPARATION;

DISCRIMINATIVE TRAINING; INTERFERENCE RATIO; MULTIPLE SOURCE; NONLINEAR OPERATION; REAL-WORLD; SINGING VOICE SEPARATIONS; SINGLE CHANNELS; STATE-OF-THE-ART PERFORMANCE;

RECURRENT NEURAL NETWORKS;

EID: 85046988721     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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