Sciweavers

135 search results - page 1 / 27
» Integrating Features from Different Sources for Music Inform...
Sort
View
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
13 years 11 months ago
Integrating Features from Different Sources for Music Information Retrieval
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Tao Li, Mitsunori Ogihara, Shenghuo Zhu
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
13 years 11 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
ISMIR
2005
Springer
226views Music» more  ISMIR 2005»
13 years 10 months ago
Musical Genre Classification Enhanced by Improved Source Separation Technique
We present a system for musical genre classification based on audio features extracted from signals which correspond to distinct musical instrument sources. For the separation of...
Aristomenis S. Lampropoulos, Paraskevi S. Lampropo...
SIGMOD
2006
ACM
129views Database» more  SIGMOD 2006»
14 years 5 months ago
InMAF: indexing music databases via multiple acoustic features
Music information processing has become very important due to the ever-growing amount of music data from emerging applications. In this demonstration, we present a novel approach ...
Jialie Shen, John Shepherd, Anne H. H. Ngu
IJMMS
2008
108views more  IJMMS 2008»
13 years 4 months ago
Ontology-based information extraction and integration from heterogeneous data sources
In this paper we present the design, implementation and evaluation of SOBA, a system for ontology-based information extraction from heterogeneous data resources, including plain t...
Paul Buitelaar, Philipp Cimiano, Anette Frank, Mat...