Sciweavers

96 search results - page 6 / 20
» Features and classifiers for the automatic classification of...
Sort
View
ICASSP
2011
IEEE
12 years 11 months ago
Hierarchical audio classification using cepstral modulation ratio regressions based on Legendre polynomials
In this work we present a scalable feature set which is obtained by fitting orthogonal polynomials to the normalized modulation spectrum of cepstral coefficients and which can b...
Anil M. Nagathil, Peter Gottel, Rainer Martin
ISMIR
2004
Springer
204views Music» more  ISMIR 2004»
14 years 1 months ago
Automatic Genre Classification Using Large High-Level Musical Feature Sets
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
Cory McKay, Ichiro Fujinaga
ISMIR
2005
Springer
173views Music» more  ISMIR 2005»
14 years 1 months ago
Audio Matching via Chroma-Based Statistical Features
In this paper, we describe an efficient method for audio matching which performs effectively for a wide range of classical music. The basic goal of audio matching can be describe...
Meinard Müller, Frank Kurth, Michael Clausen
ISMIR
2004
Springer
90views Music» more  ISMIR 2004»
14 years 1 months ago
Automatic extraction of music descriptors from acoustic signals
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the f...
François Pachet, Aymeric Zils
ISMIR
2005
Springer
145views Music» more  ISMIR 2005»
14 years 1 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