Features for audio classification: Percussiveness of sounds

Intelligent Algorithms in Ambient and Biomedical Computing

Volumn , Issue , 2006, Pages 103-118

  Skowronek, Janto ^a   McKinney, Martin ^a  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

automatic classification; Music information retrieval; percussiveness; timbre

Indexed keywords

EID: 84892336140     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/1-4020-4995-1_7     Document Type: Chapter

References (7)

1. McKinney, M.F., D.J. Breebaart [2003]. Features for audio and music classification. 4th International Symposium on Music Information and Retrieval, Baltimore, Maryland.
2. Jensen, K. [1999]. Timbre Models of Musical Sounds. PhD. Thesis, University of Copenhagen, DIKU Report 99/7.
3. Gouyon, F., and P. Herrera [2001]. Exploration of techniques for automatic labeling of audio drum tracks instruments. Proceedings of MOSART Workshop on Current Research Directions in Computer Music, Barcelona.
4. Moore, B.C.J., and B.R. Glasberg [1996]. A revision of Zwicker's loudness model. Acta Acustica, 82:335-345.
5. Schrader, J.E. [2003]. Detecting and interpreting musical note onsets in polyphonic music. MSc Thesis, Technische University Eindhoven, Eindhoven, The Netherlands.
6. Duda, R., and P. Hart [1973]. Pattern Classification and Scene Analysis. Wiley, New York.
7. Papoulis, A. [1991]. Probability, Random Variables and Stochastic Processes. McGraw-Hill, New York.