audio feature extracton and classification using wavelet transform and svm tool
S Ilaiyaraja,Nandhini P,Infant Sneha C,Sangamithira I
Published in International Journal of Advanced Research in Electronics, Communication & Instrumentation Engineering and Development
ISSN: 2347 -7210 Impact Factor:1.9 Volume:1 Issue:2 Year: 08 February,2014 Pages:71-70
Abstract
Feature extraction and analysis are the foundation of audio classification. Here we propose an improved audio classification and categorizing method which makes use of wavelets and Support Vector Machines (SVM’s).An audio signal is preprocessed using hamming window when a audio is given, wavelets are first applied to extract acoustical features such as sub-band power & pitch information. Also by using Fourier transform Bandwidth & Brightness of the audio features are extracted features are extracted. The proposed method uses SVM over these acoustical Features and additional parameters such as mean and median values of acoustical features.
Kewords
multimedia environmental
Reference
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