Automatic classification of audio data using nonlinear neural response models

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 357-360

  Bach, Jorg Hendrik ^a,b   Meyer, Arne Freerk ^a,b   McElfresh, Duncan ^b   Anemuller, Jorn ^a  

^a UNIVERSITY OF OLDENBURG   (Germany)

^b Department of Metallurgical and Materials Engineering   (United States)

Author keywords

audio classification; biological systems; physiologically motivated feature extraction

Indexed keywords

ANALYTIC APPROACH; AUDIO CLASSIFICATION; AUDIO DATA; AUDITORY FEATURE; AUDITORY PROCESSING; AUTOMATIC CLASSIFICATION; AUTOMATIC FEATURE SELECTION; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFICATION RATES; DIFFERENT SHAPES; NEURAL RESPONSE; NON-LINEAR MODEL; NON-LINEAR NEURONS; PARAMETRIC MODELS; QUALITATIVE ANALYSIS; QUANTITATIVE EVALUATION; SOUND CLASSIFICATION;

AUDIO ACOUSTICS; BIOLOGICAL SYSTEMS; FEATURE EXTRACTION; PHYSIOLOGICAL MODELS; PHYSIOLOGY; SIGNAL PROCESSING;

CLASSIFICATION (OF INFORMATION);

EID: 84867612100     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6287890     Document Type: Conference Paper

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