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» Features for Content-Based Audio Retrieval
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GIS
2009
ACM
14 years 13 days ago
Classification of raster maps for automatic feature extraction
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
Yao-Yi Chiang, Craig A. Knoblock
ISMIR
2004
Springer
112views Music» more  ISMIR 2004»
14 years 1 months ago
Towards Characterisation of Music via Rhythmic Patterns
A central problem in music information retrieval is finding suitable representations which enable efficient and accurate computation of musical similarity and identity. Low leve...
Simon Dixon, Fabien Gouyon, Gerhard Widmer
ICMCS
2009
IEEE
164views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Audio-based classification of speaker characteristics
The human voice is primarily a carrier of speech, but it also contains non-linguistic features unique to a speaker and indicative of various speaker demographics, e.g. gender, nat...
Promiti Dutta, Alexander Haubold
ICMCS
2008
IEEE
144views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Enabling access to sound archives through integration, enrichment and retrieval
Many digital sound archives still suffer from tremendous problems concerning access. Materials are often in different formats, with related media in separate collections, and with...
Ivan Damnjanovic, Josh Reiss, Dan Barry
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
14 years 3 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