Effective music tagging through advanced statistical modeling

SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2010, Pages 635-642

  Shen, Jialie ^a   Wang, Meng ^b   Yan, Shuicheng ^c   Pang, HweeHwa ^a   Hua, Xiansheng ^b  

^a SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

^b MICROSOFT RESEARCH ASIA   (China)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Browsing; Music information retrieval; Search; Tagging

Indexed keywords

ACOUSTIC FEATURES; BROWSING; CLASSIFICATION APPROACH; CLASSIFICATION FRAMEWORK; COMPREHENSIVE EVALUATION; CONTENT REPRESENTATION; EXISTING SYSTEMS; GAUSSIAN MIXTURE MODELS; KEY COMPONENT; LARGE MUSIC COLLECTIONS; LARGE-SCALE DATASETS; LOW LEVEL; MACHINE-LEARNING; MULTI-MODAL; MULTILAYER ARCHITECTURE; MUSIC INFORMATION RETRIEVAL; MUSIC SIGNALS; SEARCH; STATE OF THE ART; STATISTICAL MODELING; TAGGING; TEMPORAL INFORMATION;

ELECTRONIC MUSICAL INSTRUMENTS; INFORMATION RETRIEVAL; MULTILAYERS; RESEARCH;

COMPUTER MUSIC;

EID: 77956018535     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835449.1835555     Document Type: Conference Paper

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