7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2011)
The analysis of infant cry (also known simply as cry analysis) whose use has become more prevalent due to advances in areas such as digital signal processing, pattern recognition and soft computing, has changed the diagnostic ability of physicians to correctly diagnose new-borns using cry analysis. The present paper examines the results and conclusions reached by the speech processing Group (GPV) at the Universidad de Oriente in Cuba, in the area of acoustic characterization and the multilateral and multidisciplinary processing of the cry signal, as well as the design and implementation of a cry-based methodology for the diverse diagnosis in newborns with CNS diseases. The endemic development of tools for the acquisition and processing of the cry signal, the coordination of multidisciplinary research teamwork (with areas like logopedics, phoniatrics, linguistics, neuro-physiology, etc.) to carry out a rigorous research schedule, the implementation and testing of hybrid cry classifiers, the development of unprecedented cry-based methodology for diagnosis in newborns affected by cns diseases (with hypoxia background) as well as the induction of web-based technology in order to create skills for people involved in the introduction and application of the cry-based methodology in hospital settings, are properly commented.
Index Terms. cry analysis, signal processing, diagnosis tool
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Cano Ortiz, Sergio Daniel (2011): "Cry-based newborn diagnosis of CNS diseases and speech developmental aspects: software and hardware tools, cry databases, methodologies", In MAVEBA-2011, 3-6.