Journal
CEIS 2011
Volume 15, Issue -, Pages -Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.proeng.2011.08.756
Keywords
Audio classification; MFCC; SVM
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Time-domain and frequency-domain features were extracted. The research of process and architecture of an audio classification system based on SVM was done, and the SVM audio classifier was designed. The results of experiments show that the audio classification system designed in the paper can classify audio signal effectively, and the average identification accuracy is about 90%. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
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