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ICMCS
2005
IEEE
93views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Extracting note onsets from musical recordings
Automatic temporal segmentation of music signals into note onsets is central for a large number of audio applications. In this paper, we present a variation of a previously existi...
Miguel Alonso, Gaël Richard, Bertrand David
SIGIR
2006
ACM
15 years 3 months ago
Music structure based vector space retrieval
This paper proposes a novel framework for music content indexing and retrieval. The music structure information, i.e., timing, harmony and music region content, is represented by ...
Namunu Chinthaka Maddage, Haizhou Li, Mohan S. Kan...
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
15 years 4 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
76
Voted
MIR
2003
ACM
161views Multimedia» more  MIR 2003»
15 years 2 months ago
Highlight scene extraction in real time from baseball live video
This paper proposes a method to automatically extract highlight scenes from sports (baseball) live video in real time and to allow users to retrieve them. For this purpose, sophis...
Yasuo Ariki, Masahito Kumano, Kiyoshi Tsukada
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