The paper assumes the implementation of a cry-based classifier for neonatal diagnosis. The main contribution is concerned with the articulated processing of cry signals, which includes two kinds of approaches: a threshold-based classification and ANN-based classification. Every one of those approaches makes its own contributions to the cry classification, both are adequately combined in a classifier of two-class (pathological and normal). Moreover the use of cry unit as a primary data was also an interesting aspect held by the authors. This articulated cry processing is the main body of a new cry-based methodology for neonatal diagnosis, which will be presented in a few months by the Group of Speech Processing in Cuba.
Index Terms. cry analysis, neural networks
Cite as: Cano Ortiz, S.D., Suaste, I., Escobedo, D., Ekkel, T., Reyes García, C.A. (2007) Towards a cry classification based on articulated signal processing. Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2007), 219-222
@inproceedings{canoortiz07_maveba,
author={Sergio Daniel {Cano Ortiz} and Israel Suaste and Daniel Escobedo and Taco Ekkel and Carlos Alberto {Reyes García}},
title={{Towards a cry classification based on articulated signal processing}},
year=2007,
booktitle={Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2007)},
pages={219--222}
}