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ICMCS
2006
IEEE
138views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Generating Expressive Summaries for Speech and Musical Audio using Self-Similarity Clues
We present a novel algorithm for structural analysis of audio to detect repetitive patterns that are suitable for content-based audio information retrieval systems, since repetiti...
Mustafa Sert, Buyurman Baykal, Adnan Yazici
TASLP
2010
126views more  TASLP 2010»
13 years 3 months ago
Modeling Music as a Dynamic Texture
—We consider representing a short temporal fragment of musical audio as a dynamic texture, a model of both the timbral and rhythmical qualities of sound, two of the important asp...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...
ISMIR
2005
Springer
120views Music» more  ISMIR 2005»
13 years 11 months ago
Improvements of Audio-Based Music Similarity and Genre Classificaton
Audio-based music similarity measures can be applied to automatically generate playlists or recommendations. In this paper spectral similarity is combined with complementary infor...
Elias Pampalk, Arthur Flexer, Gerhard Widmer
ISMIR
2005
Springer
164views Music» more  ISMIR 2005»
13 years 11 months ago
Theory and Evaluation of a Bayesian Music Structure Extractor
We introduce a new model for extracting classified structural segments, such as intro, verse, chorus, break and so forth, from recorded music. Our approach is to classify signal ...
Samer A. Abdallah, Katy Noland, Mark B. Sandler, M...
ISMIR
2005
Springer
185views Music» more  ISMIR 2005»
13 years 11 months ago
A Benchmark Dataset for Audio Classification and Clustering
We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband si...
Helge Homburg, Ingo Mierswa, Bülent Möll...