Performance evaluation of TreeQ and LVQ classifiers for music information retrieval

IFIP International Federation for Information Processing

Volumn 247, Issue , 2007, Pages 331-338

  Charami, Matina ^a   Halloush, Rami ^a   Tsekeridou, Sofia ^a  

^a ATHENS INFORMATION TECHNOLOGY   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; COMPUTER VISION; DATA MINING; INFORMATION RETRIEVAL;

CLASSIFICATION ALGORITHM; COMPLEX TASK; F-MEASURE; MUSIC GENRE; MUSIC INFORMATION RETRIEVAL; PERFORMANCE METRICS; TREE-BASED;

COMPUTER MUSIC;

EID: 36248943974     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-74161-1_36     Document Type: Conference Paper

References (9)

1. Jonathan T. Foote, TreeQ Manual V0.8, September, 2003
2. T. Kohonen, H. Hynninen, J. Kangas, H. Laaksonen, and K. Torkkola. LVQ-PAK: The learning vector quantization program package, Technical Report A30, Helsinki University of Technology, Laboratory of Computer and Information Science, FIN-02150 Espoo, Finland, 1996
3. Jonathan T. Foote, Content-based retrieval of music and audio, Multimedia Storage and Archiving Systems II, Proceedings of SPIE, 1997
4. Jonathan T. Foote, An overview of audio information retrieval, Multimedia Syst., Springer-Verlag New York, Inc., Secaucus, NJ, USA, 1999
5. Music retrieval demo using open-source software package TreeQ by Jonathan T. Foote, http://www.rotorbrain.com/foote/musicr/ doc16.html
6. Forecasting with artificial neural networks, http://www.neural-forecasting.com
7. Helsinki University of Technology - Neural Networks Research Centre, http://www.cis.hut.fi/research/som_lvq_pak.shtml
8. The HTK Toolkit, http://htk.eng.cam.ac.uk/
9. Steve Young et al., The HTK Book (1995-1999 Microsoft Corporation, 2001-2006 Cambridge University Engineering Department)