Automatic Classification of the Cry of Infants with Cleft Palate
نویسندگان
چکیده
It is well known that the cry sound produced by an infant conveys information concerning the infant’s health or needs. In this paper, an Hidden Markov Model (HMM) based system for classification and monitoring of infants cry is presented. Classification tests among seven infants with cleft palate, with/without a palatal plate were performed in three forms: (1) age and subject dependent (2) age dependent – subject independent (3) age independent – subject dependent. The results were: 90%, 58% and 83% correct classification for the 1-3 case, respectively.
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