Audio: A feature extraction library

ISMIR 2005 - 6th International Conference on Music Information Retrieval

Volumn , Issue , 2005, Pages 600-603

  McEnnis, Daniel ^a   McKay, Cory ^a   Fujinaga, Ichiro ^a   Depalle, Philippe ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Audio feature extraction; Java audio environment; Music information retrieval

Indexed keywords

ANALYSIS ALGORITHMS; AUDIO FEATURE EXTRACTION; AUDIO FILES; AUDIO SIGNAL; COMMAND-LINE INTERFACES; JAVA AUDIO ENVIRONMENT; LEARNING CURVES; MUSIC INFORMATION RETRIEVAL; NEW MECHANISMS; USER'S PREFERENCES; XML FILES;

BATCH DATA PROCESSING; GRAPHICAL USER INTERFACES; INFORMATION RETRIEVAL;

FEATURE EXTRACTION;

EID: 84873533157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. X. Amatrain, P. Arumi, and M. Ramirez. Clam: Yet another library for audio and music processing? In Proceedings of the ACM Conference on Object Oriented Programming, Systems, and Applications, 2002. 22-3.
2. B. Bogert, M. Healy, and M. Healy. The quefrency alanysis of time series for echoes: cepstrum, pseudoautocovariance, cross-cepstrum, and saphe-cracking. In Proceedings of the Symposium Time Series Analysis, 1963. 209-43.
3. S. Downie, J. Futrelle, and D. Tcheng. The international music information retrieval systems evaluation laboratory. International Conference on Music Information Retrieval, 2004. 9-14.
4. I. Fujinaga. Machine recognition of timbre using steadystate tone of acoustic musical instruments. In Proceedings of the International Computer Music Conference, 1998. 207-10.
5. I. Fujinaga. Adaptive optical music recognition. PhD thesis, McGill University, 1997.
6. T. Hong. Salient feature extraction of musical instrument signals. Master's thesis, Dartmouth College, 2000.
7. K. Jensen. Timbre models of musical sounds. PhD thesis, Kobenhavens Universitet, 1999.
8. S. McAdams. Perspectives on the contribution of timbre to musical structure. Computer Music Journal, 23:85-102, 1999.
9. C. McKay, D. McEnnis, R. Fiebrink, and I. Fujinaga. Ace: A framework for optomizing music classification. International Conference on Music Information Retrieval, 2005.
10. S. Pfeiffer, C. Parker, and T. Vincent. Maate, 2005. URL http://www.cmis.csiro.au/maaate/. [Accessed April 14, 2005].
11. E. Scheirer and M. Slaney. Construction and evaluation of a robust multi-feature speech/music discriminator. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, 1997.
12. C. Su, K. Fung, and A. Leonov. Oc volume, 2005. URL http://ocvolume. sourceforge.net/. [Accessed April 14, 2005].
13. G. Tzanetakis and P. Cook. Marsyas: A framework for audio analysis. Organized Sound, 10:293-302, 2000.
14. I. Witten and E. Frank. Data mining: Practical machine learning tools and techniques with Java implementations. San Fransisco: Morgan Kaufmann, 1999.