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17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
Speech Music Discrimination Using Class-Specific Features
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
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Thomas Beierholm, Paul M. Baggenstoss, "Speech Music Discrimination Using Class-Specific Features," Pattern Recognition, International Conference on, vol. 2, pp. 379-382, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334226,
author = {Thomas Beierholm and Paul M. Baggenstoss},
title = {Speech Music Discrimination Using Class-Specific Features},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2004},
issn = {1051-4651},
pages = {379-382},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334226},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Speech Music Discrimination Using Class-Specific Features
SN - 1051-4651
SP379
EP382
A1 - Thomas Beierholm,
A1 - Paul M. Baggenstoss,
PY - 2004
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Thomas Beierholm, GN ReSound A/S, Denmark
Paul M. Baggenstoss, Naval Undersea Warfare Center, Newport RI
In this paper the application of the class-specific features approach to classification is demonstrated for the problem of discriminating between speech and music. Feature extraction is class-specific and can therefore be tailored to each class meaning that segment size, model orders and the type of features used can be different for the classes. The performance of the discriminator is evaluated and an example of how classification is possible without training is given.
Citation:
Thomas Beierholm, Paul M. Baggenstoss, "Speech Music Discrimination Using Class-Specific Features," icpr, vol. 2, pp.379-382, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004
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