Modelling and characterization of an artificial neural network for infant cry recognition using mel-frequency cepstral coefficients

• Main Authors: Bandala, Argel A., Lim, Allimzon M., Cai, Mark Anthony D., Bacar, Allan Jeffrey C., Mañosca, Aynna Claudine G.
• Format: text
• Published: Animo Repository 2015
• Subjects: Auditory perception; Computational auditory scene analysis; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1359; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2358/type/native/viewcontent
• Institution: De La Salle University

This paper is about the creation of an artificial neural network (ANN) in MATLAB to analyze the features extracted from calculating the mel-frequency cepstral coefficients (MFCC) of the raw audio data. The paper explains basic concepts about the ANN, as well as the MFCC and other relevant theories....