Non-linear semantic embedding for organizing large instrument sample libraries

Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011

Volumn 2, Issue , 2011, Pages 142-147

  Humphrey, Eric J ^a   Glennon, Aron P ^a   Bello, Juan Pablo ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC FEATURES; DESCRIPTORS; DIMENSIONALITY REDUCTION TECHNIQUES; HIGH-DIMENSIONAL; METRIC SPACES; SEMANTIC INFORMATION; TIME-FREQUENCY REPRESENTATIONS;

LEARNING SYSTEMS; LIBRARIES; METADATA;

SEMANTICS;

EID: 84857839546     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2011.105     Document Type: Conference Paper

References (11)

1. M. Slaney. "Web-Scale Multimedia Analysis: Does Content Matter?"IEEE MultiMedia. 18(2): 12-15 (2011)
2. S. Essid, G. Richard, B. David. "Musical Instrument Recognition by Pairwise Classification Strategies." Audio, Speech, and Language Processing, IEEE Transactions on (2006) 14 (4): 1401-1412 (Pubitemid 46552930)
3. A. Livshin, X. Rodet. "Musical Instrument Identification In Continuous Recordings." Proc. Int. Conf. Digital Audio Effects (DAFX). 2004. 222-227
4. B. Sturm, M. Morvidone, L. Daudet. "Musical Instrument Identification using Multiscale Mel-frequency Cepstral Coefficients." 18th European Signal Processing Conference (EUSIPCO-2010).
5. Y. LeCun, L. Bottou, Y. Bengio, P. Haffner. "Gradient Based Learning Applied to Document Recognition." Proceedings of IEEE, 86(11):2278-2324, 1998.
6. R. Hadsell, S. Chopra, Y. LeCun. "Dimensionality Reduction by Learning an Invariant Mapping." Conference on Computer Vision and Pattern Recognition. (CVPR): 2006.
7. J. Brown, M. Puckette. "An efficient algorithm for the calculation of a constant Q transform." J. Acoust. Soc. Am. 92(5):2698-2701, 1992.
8. J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley and Y. Bengio. "Theano: A CPU and GPU Math Expression Compiler." Proceedings of the Python for Scientific Computing Conference (SciPy) 2010. June 30 - July 3, Austin, TX
9. H. Terasawa, M. Slaney,J.Berger. "The Thirteen Colors of Timbre." 2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
10. "Scikits.Learn: Machine Learning in Python." version 0.8.1. http://scikits-learn.sourceforge.net
11. T. Zito, N. Wilbert, L. Wiskott, P. Berkes. "Modular toolkit for Data Processing (MDP): a Python data processing frame work." Front. Neuroinform. 2008. 2:8.