Factors in automatic musical genre classification of audio signals

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Volumn 2003-January, Issue , 2003, Pages 143-146

  Li, Tao ^a   Tzanetakis, G ^b  

^a University of Rochester   (United States)

^b Computer Science Department Carnegie Mellon University ^*  (United States)

Author keywords

Audio compression; Bandwidth; Computer science; Feature extraction; Hard disks; Humans; Machine learning; Music information retrieval; Peer to peer computing; Performance analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUDIO ACOUSTICS; BANDWIDTH; BANDWIDTH COMPRESSION; COMPUTER SCIENCE; DISTRIBUTED COMPUTER SYSTEMS; FEATURE EXTRACTION; HARD DISK STORAGE; LEARNING SYSTEMS; SIGNAL PROCESSING;

AUDIO COMPRESSION; HUMANS; MUSIC INFORMATION RETRIEVAL; PEER-TO-PEER COMPUTING; PERFORMANCE ANALYSIS;

AUDIO SIGNAL PROCESSING;

EID: 62649114038     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASPAA.2003.1285840     Document Type: Conference Paper

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