Open Access

Tanja Fuhr

• This thesis aims at exploring the ability of acoustic infant cry analysis for discriminating developmental pathologies. Cries of healthy infants as well as cries of infants suffering from cleft lip and palate, hearing impairment, laryngomalacia, asphyxia and brain damage were recorded and acoustically analyzed. The acoustic properties of the infant cries were identified and tested on their suitability to predict the health state of the infants in an reliable, valid and objective way. To test the reliability of infant cry analysis, Krippendorff’s Alpha coefficient was calculated to test how homogeneous cries of healthy infants as well as cries of infants suffering from various pathologies are. To asses if valid methods exist for classifying infant cries, different approaches that can be used to differentiate between the groups and to predict the health state of the infants — e.g., analysis of variances, supervised-learning models and auditory discrimination by human listeners — were tested on their validity. The objectivity of computer-based and human-based classification approaches was explored and techniques to enhance the objectivity for both approaches are proposed. Computer-based approaches are more objective and reached higher sensitivity and specificity values in their classification to predict the health state of the infants. Especially C5.0 decision trees reached high and therefore promising classification results, even though infant cries have a great statistical spread and can be seen as very heterogeneous and are therefore not very reliable in general.