Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3195, Issue , 2004, Pages 494-499

  Smaragdis, Paris ^a  

^a MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION; EXTRACTION; INDEPENDENT COMPONENT ANALYSIS;

MAGNITUDE SPECTRUM; NON-NEGATIVE MATRIX; NON-NEGATIVE MATRIX FACTORIZATION ALGORITHMS; SINGLE CHANNELS; SOUND SOURCE; TEMPORAL STRUCTURES;

FACTORIZATION;

EID: 35048843291     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_63     Document Type: Article

References (6)

1. Casey, M.A. and A. Westner (2000) "Separation of Mixed Audio Sources by Independent Subspace Analysis", Proceedings of the International Computer Music Conference, Berlin, Germany, August, 2000.
2. Lee, D.D. and H.S. Seung. (1999) "Learning the parts of objects with nonnegative matrix factorization". Nature, 401:788 791, 1999.
3. Lee, D.D. and H.S. Seung (2000) "Algorithms for Non-Negative Matrix Factorization". Neural Information Processing Systems 2000, 556-562.
4. Paatero, P. (1997) "Least Squares Formulation of Robust Non-Negative Factor Analysis", Chemometrics and Intelligent Laboratory Systems 37, 23-35, 1997.
5. Smaragdis, P. (2001) "Redundancy Reduction for Computational Audition, a Unifying Approach", Doctoral Dissertation, MAS Dept. Massachusetts Institute of Technology, Cambridge MA, USA.
6. Smaragdis, P. and J.C. Brown. (2003) "Non-Negative Matrix Factorization for Polyphonic Music Transcription", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. New Paltz, NY, October 2003.