Learning a robust Tonnetz-space transform for automatic chord recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 453-456

  Humphrey, Eric J ^a   Cho, Taemin ^a   Bello, Juan P ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

Chord Recognition; Convolutional Neural Networks; Deep Learning; Tonnetz

Indexed keywords

AUDIO DATA; CHORD RECOGNITION; CLASSIFICATION ACCURACY; CONTENT-BASED METHODS; CONVOLUTIONAL NEURAL NETWORK; DATA-DRIVEN APPROACH; DE FACTO STANDARD; DEEP LEARNING; GEOMETRIC REPRESENTATION; MID-LEVEL FEATURES; MUSIC THEORY; TONNETZ;

COMPUTER MUSIC; DIGITAL STORAGE; HARMONIC ANALYSIS; NEURAL NETWORKS; SIGNAL PROCESSING;

AUDIO ACOUSTICS;

EID: 84867602860     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6287914     Document Type: Conference Paper

References (8)

1. M.Müller and S. Ewert, "Towards timbre-invariant audio features for harmony-based music," IEEE Transactions on Audio, Speech, and Language Processing (TASLP), vol. 18, no. 3, pp. 649-662, 2010.
2. T. Cho, R. J. Weiss, and J. P. Bello, "Exploring Common Variations in State of the Art Chord Recognition Systems," in Proc. Sound and Music Computing Conference (SMC), Barcelona, Spain, July 2010, pp. 1-8.
3. C. Harte, M. Sandler, and M. Gasser, "Detecting harmonic change in musical audio," in Proceedings of the 1st ACM workshop on Audio and music computing multimedia, New York, NY, USA, 2006, AMCMM '06, pp. 21-26, ACM.
4. E. J. Humphrey, A. Glennon, and J. P. Bello, " Non-Linear Semantic Embedding for Organizing Large Musical Instrument Sample Libraries," in To appear in Proc. International Conference for Machine Learning and Applications (ICMLA), Honolulu, HI USA, Dec. 2011.
5. M. Henaff, K. Jarrett, K. Kavukcuoglu, and Y. LeCun, " Unsupervised Learning of Sparse Features for Scalable Audio Classification," in To appear in Proc. International Society for Music Information Retrieval Conference (ISMIR), Miami, FL USA, Oct. 2011.
6. Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient based learning applied to document recognition.," Proceedings of IEEE, vol. 86, no. 11, pp. 2278-2324, 1998.
7. 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," in Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010, Oral.
8. T. M. Cho and J. P. Bello, "A Feature Smoothing Method For Chord Recognition Using Recurrence Plots," in To appear in Proc. International Society for Music Information Retrieval Conference (ISMIR), Miami, FL USA, Oct. 2011.