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GFKL
2005
Springer
94views Data Mining» more  GFKL 2005»
15 years 10 months ago
Modeling Memory for Melodies
The aim of the presented study was to find structural descriptions of melodies that influence recognition memory for melodies. 24 melodies were played twice to 42 test persons. I...
Daniel Müllensiefen, Christian Hennig
ISMIR
2005
Springer
137views Music» more  ISMIR 2005»
15 years 10 months ago
Extracting Quality Parameters for Compressed Audio from Fingerprints
An audio fingerprint is a compact yet very robust representation of the perceptually relevant parts of audio content. It can be used to identify audio, even when of severely dist...
Peter Jan O. Doets, Reginald L. Lagendijk
ISMIR
2005
Springer
150views Music» more  ISMIR 2005»
15 years 10 months ago
A Bootstrap Method for Training an Accurate Audio Segmenter
Supervised learning can be used to create good systems for note segmentation in audio data. However, this requires a large set of labeled training examples, and handlabeling is qu...
Ning Hu, Roger B. Dannenberg
ISMIR
2005
Springer
160views Music» more  ISMIR 2005»
15 years 10 months ago
Finding An Optimal Segmentation for Audio Genre Classification
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...
Kris West, Stephen Cox
ISMIR
2005
Springer
138views Music» more  ISMIR 2005»
15 years 10 months ago
Efficient Melody Retrieval with Motif Contour Classes
This paper describes the use of motif contour classes for efficient retrieval of melodies from music collections. Instead of extracting incipits or themes, complete monophonic pi...
Tillman Weyde, Christian Datzko