Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks

Expert Systems with Applications

Volumn 39, Issue 10, 2012, Pages 9515-9523

  Hariharan, M ^a   Saraswathy, J ^a   Sindhu, R ^a   Khairunizam, Wan ^a   Yaacob, Sazali ^a  

^a UNIVERSITY MALAYSIA PERLIS   (Malaysia)

Author keywords

Feature extraction; Infant cry; PNN and GRNN; Short time Fourier transform

Indexed keywords

ACOUSTIC ANALYSIS; CLASSIFICATION ACCURACY; GENERAL REGRESSION NEURAL NETWORK; INFANT CRY; MULTI LAYER PERCEPTRON; NEURAL NETWORK MODEL; PNN AND GRNN; PROBABILISTIC NEURAL NETWORKS; RADIAL BASIS NEURAL NETWORKS; SCALED CONJUGATE GRADIENT ALGORITHM; SHORT TIME FOURIER TRANSFORMS; SHORT-TIME FOURIER TRANSFORM; STATISTICAL FEATURES; TIME DELAY NEURAL NETWORKS; TIME FREQUENCY; TIME FREQUENCY ANALYSIS; VERBAL COMMUNICATIONS;

CONJUGATE GRADIENT METHOD; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS;

ACCIDENTS;

EID: 84859214576     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.102     Document Type: Article

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