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    ARTICLE

    Automated Speech Recognition System to Detect Babies’ Feelings through Feature Analysis

    Sana Yasin1, Umar Draz2,3,*, Tariq Ali4, Kashaf Shahid1, Amna Abid1, Rukhsana Bibi1, Muhammad Irfan5, Mohammed A. Huneif6, Sultan A. Almedhesh6, Seham M. Alqahtani6, Alqahtani Abdulwahab6, Mohammed Jamaan Alzahrani6, Dhafer Batti Alshehri6, Alshehri Ali Abdullah7, Saifur Rahman5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4349-4367, 2022, DOI:10.32604/cmc.2022.028251

    Abstract Diagnosing a baby’s feelings poses a challenge for both doctors and parents because babies cannot explain their feelings through expression or speech. Understanding the emotions of babies and their associated expressions during different sensations such as hunger, pain, etc., is a complicated task. In infancy, all communication and feelings are propagated through cry-speech, which is a natural phenomenon. Several clinical methods can be used to diagnose a baby’s diseases, but nonclinical methods of diagnosing a baby’s feelings are lacking. As such, in this study, we aimed to identify babies’ feelings and emotions through their cry using a nonclinical method. Changes… More >

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