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ISMIR
2005
Springer
166views Music» more  ISMIR 2005»
15 years 9 months ago
Song-Level Features and Support Vector Machines for Music Classification
Searching and organizing growing digital music collections requires automatic classification of music. This paper describes a new system, tested on the task of artist identifica...
Michael I. Mandel, Dan Ellis
ISMIR
2005
Springer
145views Music» more  ISMIR 2005»
15 years 9 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
2005
Springer
150views Music» more  ISMIR 2005»
15 years 9 months ago
Comparing Pitch Spelling Algorithms
A pitch spelling algorithm predicts the pitch names of the notes in a musical passage when given the onset-time, MIDI note number and possibly the duration and voice of each note....
David Meredith, Geraint A. Wiggins
ISMIR
2005
Springer
182views Music» more  ISMIR 2005»
15 years 9 months ago
The Mel-Frequency Cepstral Coefficients in the Context of Singer Identification
The singing voice is the oldest and most complex musical instrument. A familiar singer’s voice is easily recognizable for humans, even when hearing a song for the first time. O...
Annamaria Mesaros, Jaakko Astola
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
15 years 9 months ago
Databionic Visualization of Music Collections According to Perceptual Distance
We describe the MusicMiner system for organizing large collections of music with databionic mining techniques. Low level audio features are extracted from the raw audio data on sh...
Fabian Mörchen, Alfred Ultsch, Mario Nöc...
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