Neural network utilization for flagged words detection thru distinct audio features
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
Publication Date
11-1-2019
Abstract
This research paper employed a method of detecting a given flagged word that would possibly trigger a machine and at the same time, being able to separate such sound source in a given real world environment. As part of the experimentation done, the flagged words were recorded by 3 different individuals. To make sure that only the flagged words would be detected by the robot's auditory signal processor, the 3 individuals were also asked to record random words that would be used to test whether the robot's detector responds even in random words being heard. By utilizing the neural networks concepts and processes, detection of flagged words was made possible. After the results has been produced, the researchers arrived to a conclusion that even in the middle of a noisy and reverberant surroundings and situations, the robot can capture the flagged words coming from the crowd by allowing the neural network to perform its function.
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Digitial Object Identifier (DOI)
10.1109/HNICEM48295.2019.9072834
Recommended Citation
Mital, M. G., Villaruel, H. V., Lim, R. M., Tobias, R., Maningo, J. Z., Bandala, A. A., Vicerra, R. P., & Dadios, E. P. (2019). Neural network utilization for flagged words detection thru distinct audio features. 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019 https://doi.org/10.1109/HNICEM48295.2019.9072834
Disciplines
Artificial Intelligence and Robotics
Keywords
Computer sound processing; Auditory scene analysis
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