Cristina P. Dadula

  • Citations Per Year
Learn More
A method to detect an abnormal situation inside a public transport bus using audio signals is presented. Mel Frequency Cepstral Coefficients (MFCC) were used as a feature vector and a multilayer backpropagation neural network as a classifier. Audio samples were taken inside the bus running along Epifanio Delos Santos Avenue (EDSA), Metro Manila,(More)
This paper presents the implementation of genetic algorithm (GA) to a simple blind source separation(BSS) problem using independent component analysis(ICA). The process did not include pre-processing of mixture signals such as centering and whitening like most of ICA algorithms. The GA directly guesses the coefficients of the separating matrix given the(More)
This paper presents the simulation of audio surveillance system in a public transport vehicle that detects event like screams and gunshots by classifying signals as normal or in crisis condition using adaptive neuro fuzzy inference system (ANFIS). Audio signals were divided into frames and represented by its feature. Feature is extracted using mel frequency(More)
Audio surveillance system in a public transport vehicle that detects event like screams and gunshots by classifying signals as normal or in crisis condition using adaptive neuro fuzzy inference system (ANFIS) is presented. Sample audio signals were edited to remove the silent part. Audio signals were divided into frames and represented by its feature.(More)
  • 1