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ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
15 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
ISMIR
2005
Springer
165views Music» more  ISMIR 2005»
15 years 3 months ago
Rhythm Classification Using Spectral Rhythm Patterns
In this paper, we study the use of spectral patterns to represent the characteristics of the rhythm of an audio signal. A function representing the position of onsets over time is...
Geoffroy Peeters
ISMIR
2004
Springer
132views Music» more  ISMIR 2004»
15 years 3 months ago
Classification of musical genre: a machine learning approach
In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The stu...
Roberto Basili, Alfredo Serafini, Armando Stellato
ISMIR
2004
Springer
124views Music» more  ISMIR 2004»
15 years 3 months ago
Eigenrhythms: Drum pattern basis sets for classification and generation
We took a collection of 100 drum beats from popular music tracks and estimated the measure length and downbeat position of each one. Using these values, we normalized each pattern...
Dan Ellis, John Arroyo
AUSAI
2003
Springer
15 years 1 months ago
A New Approach for Scientific Citation Classification Using Cue Phrases
This paper introduces a new method for the rapid development of complex rule bases involving cue phrases for the purpose of classifying text segments. The method is based on Ripple...
Son Bao Pham, Achim G. Hoffmann