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

• المؤلفون الرئيسيون: Bandala, Argel A., Lim, Allimzon M., Cai, Mark Anthony D., Bacar, Allan Jeffrey C., Mañosca, Aynna Claudine G.
• التنسيق: text
• منشور في: Animo Repository 2015
• الموضوعات: Auditory perception; Computational auditory scene analysis; Electrical and Electronics; Systems and Communications
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/faculty_research/1359; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2358/type/native/viewcontent

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....