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

Author:

Hariharan M.,Saraswathy J.,Sindhu R.,Khairunizam Wan,Yaacob Sazali

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference38 articles.

1. Fuzzy support vector machines for automatic infant cry recognition;Barajas-Montiel;Springer, Lecture Notes In Control And Information Sciences,2006

2. Forecasting chlorine residuals in a water distribution system using a general regression neural network;Bowden;Mathematical and Computer Modeling,2006

3. A combined classifier of cry units with new acoustic attributes;Cano;Lecture notes in computer sciences,2006

4. Cano. S. et al. (1995). The spectral analysis of infant cry: An initial approximation. In Paper presented at conference of EUROSPEECH’95 (sponsored by ESCA & IEEE), Madrid.

5. Improving classification performance of sonar targets by applying general regression neural network with PCA;Erkmen;Expert Systems with Applications,2008

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