Various studies on music information retrieval have been conducted. Most of them used low-level features such as spectral and cepstral features, which are effective to some extent...
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...
The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perfor...
In the automatic classification of music many different segmentations of the audio signal have been used to calculate features. These include individual short frames (23 ms), lon...
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...