On the use of sequential patterns mining as temporal features for music genre classification

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 2294-2297

  Ren, Jia Min ^a   Chen, Zhi Sheng ^a   Jang, Jyh Shing Roger ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Hidden Markov models; Information retrieval; Long term structure; Music genre classification; Sequential pattern mining

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; INFORMATION RETRIEVAL; MUSIC;

'CURRENT; GENRE CLASSIFICATION; HIDDEN-MARKOV MODELS; LONG-TERM STRUCTURES; MUSIC GENRE CLASSIFICATION; SEQUENTIAL PATTERNS; SEQUENTIAL-PATTERN MINING; SOUND EVENTS; TEMPORAL FEATURES; TEMPORAL INFORMATION;

HIDDEN MARKOV MODELS;

EID: 78049404439     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495955     Document Type: Conference Paper

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