Accelerating non-negative matrix factorization for audio source separation on multi-core and many-core architectures

Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009

Volumn , Issue , 2009, Pages 501-506

  Battenberg, Eric ^a   Wessel, David ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SOURCE SEPARATION; GRAPHICS PROCESSOR; MANY-CORE; MULTI CORE AND MANY CORES; MULTI-CORE SYSTEMS; MUSIC INFORMATION RETRIEVAL; NONNEGATIVE MATRIX FACTORIZATION; PARALLEL IMPLEMENTATIONS; RUNNING TIME; SHARED MEMORIES;

APPLICATION PROGRAMMING INTERFACES (API); FACTORIZATION; INFORMATION RETRIEVAL; ITERATIVE METHODS; PERSONAL COMPUTERS; SOURCE SEPARATION;

COMPUTER ARCHITECTURE;

EID: 79955589746     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. G. Tzanetakis: "Marsyas submissions to MIREX 2007", MIREX 2007, 2007. URL: http://www.musicir.org/mirex/2008/abs/mirex2007.pdf.
2. D. Lee and H. Seung: "Learning the parts of objects by non-negative matrix factorization, " Nature, Vol. 401, pp. 788-791, 1999.
3. T. Virtanen: "Monaural sound source separation by nonnegative matrix factorization with temporal continuity and sparseness criteria, " IEEE Transactions on Audio, Speech, and Language Processing, Vol. 15, No. 3, pp. 1066-1074, 2007.
4. P. Smaragdis and J. Brown: "Non-negative matrix factorization for polyphonic music transcription, " IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 177-180, 2003.
5. A. Cont, S. Dubnov, D. Wessel: "Realtime Multiple-Pitch and Multiple-Instrument Recognition for Music Signals Using Sparse Non-Negative Constraints, " Proceedings of the International Conference on Digital Audio Effects (DAFx), 2007.
6. M. Helen and T. Virtanen: "Separation of drums from polyphonic music using nonnegative matrix factorization and support vector machine, " Proc. EUSIPCO, 2005.
7. E. Battenberg: "Improvements to Percussive Component Extraction Using Non-Negative Matrix Factorization and Support Vector Machines, " Masters Thesis, University of California, Berkeley, December 2008. URL: http://cnmat.berkeley.edu/publications/author/Battenberg.
8. K. Asanovic, R. Bodik, et al.: "The landscape of parallel computing research: A view from Berkeley, " Electrical Engineering and Computer Sciences, University of California at Berkeley, Technical Report No. UCB/EECS-2006-183, December, 2006.
9. A. Munschi: "OpenCL: Parallel computing on the GPU and CPU, " SIGGRAPH08: ACM SIGGRAPH 2008 classes, 2008.
10. J. Nickolls, I. Buck, et al.: "CUDA: Scalable parallel programming, " ACM Queue, April, 2008.
11. B. Catanzaro, N. Sundaram, and K. Keutzer: "Fast support vector machine training and classification on graphics processors, " Proceedings of the 25th international conference on Machine learning, pp. 104- 111, 2008.
12. J. Chong, Y. Yi, et al.: "Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors, " Proceedings of the 1st Annual Workshop on Emerging Applications and Many Core Architecture (EAMA), pp. 23-25, 2008.
13. B. Catanzaro, B. Su, et al.: "Efficient, high-quality image contour detection, " International Conference on Computer Vision, 2009.
14. D. Lee and H. Seung: "Algorithms for Non-negative Matrix Factorization', " Advances In Neural Information Processing Systems, pp. 556-562, 2001.
15. Open MP Architecture Review Board: OpenMP application programming interface, Ver. 2.5, May 2005.
16. "Nvidia CUDA Programming Guide, " Ver. 2.1, URL: developer. download.nvidia.com/compute/cuda/2 1/toolkit/docs/NVIDIA CUDA Programming Guide 2.1.pdf, 2008.
17. V. Volkov and J. Demmel: "Benchmarking GPUs to tune dense linear algebra, " Supercomputing 08, 2008.
18. M. Harris: "Optimizing parallel reduction in CUDA, " Nvidia Cuda SDK 2.1, URL: http://developer.download.nvidia.com/compute/cuda/sdk/ website/projects/reduction/doc/reduction.pdf, 2008.