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» Can Humans Benefit from Music Information Retrieval
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ICASSP
2011
IEEE
12 years 11 months ago
Time-constrained sequential pattern discovery for music genre classification
Music consists of both local and long-term temporal information. However, for a genre classification task, most of the text categorization based approaches only capture local temp...
Jia-Min Ren, Jyh-Shing Roger Jang
ISMIR
2005
Springer
164views Music» more  ISMIR 2005»
14 years 1 months ago
Theory and Evaluation of a Bayesian Music Structure Extractor
We introduce a new model for extracting classified structural segments, such as intro, verse, chorus, break and so forth, from recorded music. Our approach is to classify signal ...
Samer A. Abdallah, Katy Noland, Mark B. Sandler, M...
ISMIR
2004
Springer
192views Music» more  ISMIR 2004»
14 years 1 months ago
Extraction of Drum Patterns and their Description within the MPEG-7 High-Level-Framework
A number of metadata standards have been published in recent years due to the increasing availability of multimedia content and the resulting issue of sorting and retrieving this ...
Matthias Gruhne, Christian Uhle, Christian Dittmar...
SOCO
2002
Springer
13 years 7 months ago
Content-based audio classification and retrieval using a fuzzy logic system: towards multimedia search engines
In recent years, available audio corpora are rapidly increasing from fast growing Internet and digital libraries. How to classify and retrieve sound files relevant to the user'...
Mingchun Liu, Chunru Wan, Lipo Wang
ICMCS
2010
IEEE
212views Multimedia» more  ICMCS 2010»
13 years 8 months ago
Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
Audio tags describe different types of musical information such as genre, mood, and instrument. This paper aims to automatically annotate audio clips with tags and retrieve releva...
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang