Infant cry recognition system: A comparison of system performance based on Mel frequency and linear prediction cepstral coefficients

• Main Authors: Abdulaziz Y., Ahmad S.M.S.
• Other Authors: 57207857499
• Format: Conference paper
• Published: 2023
• Subjects: Automatic recognition of infant cry; Feed-forward neural network; Linear prediction cepstral coefficients; Mel-frequency cepstral coefficients; Conjugate gradient method; Extraction; Feedforward neural networks; Information retrieval; Knowledge management; Natural language processing systems; Speech recognition; Audio samples; Automatic recognition; Feature sets; Infant cry; Infant cry recognition; Main tasks; Parameter setting; Performance based; Recognition systems; Scaled conjugate gradient algorithm; System accuracy; Forecasting

This paper describes the architecture of an automatic infant cry recognition system which main task is to identify and differentiate between pain and non-pain cries belonging to infants. The recognition system is mainly based on feed forward neural network architecture which is trained with the scal...