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ISMIR
2005
Springer
127views Music» more  ISMIR 2005»
14 years 3 months ago
Distributed Audio Feature Extraction for Music
One of the important challenges facing music information retrieval (MIR) of audio signals is scaling analysis algorithms to large collections. Typically, analysis of audio signals...
Stuart Bray, George Tzanetakis
ICMCS
2006
IEEE
120views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Detecting Musical Sounds in Broadcast Audio Based on Pitch Tuning Analysis
Detecting the presence of musical sounds in broadcast audio is important for content-based indexing and retrieval of auditory and visual information in radio and TV programs. In t...
Yongwei Zhu, Qibin Sun, Susanto Rahardja
ISMIR
2005
Springer
145views Music» more  ISMIR 2005»
14 years 3 months ago
An Investigation of Feature Models for Music Genre Classification Using the Support Vector Classifier
In music genre classification the decision time is typically of the order of several seconds, however, most automatic music genre classification systems focus on short time feat...
Anders Meng, John Shawe-Taylor
ISMIR
2001
Springer
199views Music» more  ISMIR 2001»
14 years 2 months ago
Automatic Musical Genre Classification of Audio Signals
Musical genres are categorical descriptions that are used to describe music. They are commonly used to structure the increasing amounts of music available in digital form on the W...
George Tzanetakis
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
14 years 3 months ago
Evaluation of Feature Extractors and Psycho-Acoustic Transformations for Music Genre Classification
We present a study on the importance of psycho-acoustic transformations for effective audio feature calculation. From the results, both crucial and problematic parts of the algori...
Thomas Lidy, Andreas Rauber