Speech-controlled human-computer interface for audio-visual breast self-examination guidance system
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Conference Proceeding
Source Title
8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015
Publication Date
1-25-2016
Abstract
This paper presents the development of a speech-controlled human-computer interface (SR-HCI) as a subsystem of the audio-visual breast self-examination guidance system. This aims to better control the system during computer-guided breast self-examination (BSE) performance and allows for user indications of possible tumor locations by dictating it to the system through the speech recognition feature. Speech database for English and Hiligaynon languages are gathered and trained for this application. The speech recognition architecture includes Mel frequency cepstrum coefficients (MFCCs) for speech feature extraction, artificial neural network (ANN) for training and classification, and genetic algorithm for optimization. The authors performed tests in the speech recognition system and present the outcomes. © 2015 IEEE.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2015.7393236
Recommended Citation
Billones, R. C., Dadios, E. P., Cabatuan, M. K., Gan Lim, L., Galvez, R. L., Carandang, J. S., Punzalan, E., Enriquez, M., Erasga, D., Ples, M., Teruel, R., Sison-Gareza, B., Carandang, M., & Carandang, J. (2016). Speech-controlled human-computer interface for audio-visual breast self-examination guidance system. 8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015 https://doi.org/10.1109/HNICEM.2015.7393236
Disciplines
Manufacturing
Keywords
Breast—Examination; Automatic speech recognition; Human-computer interaction; Genetic algorithms
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