Beyond timbral statistics: Improving music classification using percussive patterns and bass lines

IEEE Transactions on Audio, Speech and Language Processing

Volumn 19, Issue 4, 2011, Pages 1003-1014

  Tsunoo, Emiru ^a   Tzanetakis, George ^b   Ono, Nobutaka ^a   Sagayama, Shigeki ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF VICTORIA   (Canada)

Author keywords

means clustering; Dynamic programming; feature extraction; musical genre classification; pattern clustering method

Indexed keywords

AUDIO MUSIC; AUTOMATIC GENRE CLASSIFICATION; CLUSTERING METHODS; FEATURE VECTORS; GENRE CLASSIFICATION; LINE PATTERN; MUSIC CLASSIFICATION; MUSIC COLLECTION; MUSICAL GENRE; MUSICAL GENRE CLASSIFICATION; NEW APPROACHES; ONE-PASS; PATTERN CLUSTERING METHOD; PATTERN INFORMATION; RHYTHMIC PATTERNS;

AUDIO ACOUSTICS; CLUSTER ANALYSIS; FEATURE EXTRACTION; KNOWLEDGE BASED SYSTEMS;

DYNAMIC PROGRAMMING;

EID: 79953270840     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2010.2073706     Document Type: Article

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