Fifth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2007)
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
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Cano Ortiz, Sergio Daniel / Suaste, Israel / Escobedo, Daniel / Ekkel, Taco / Reyes García, Carlos Alberto (2007): "Towards a cry classification based on articulated signal processing", In MAVEBA-2007, 219-222.