MATEC Web Conf.
Volume 75, 20162016 International Conference on Measurement Instrumentation and Electronics (ICMIE 2016)
|Number of page(s)||5|
|Published online||01 September 2016|
Speech Recognizing for Presentation Tool Navigation Using Back Propagation Artificial Neural Network
Electronics Engineering Education Department, Yogyakarta State University, Karangmalang, Yogyakarta 55281, Indonesia
a Corresponding author: firstname.lastname@example.org
Backpropagation Artificial Neural Network (ANN) is a well known branch of Artificial Intelligence and has been proven to solve various problems of complex speech recognizing in health , , education  and engineering . Today, many kinds of presentation tools are used by society. One popular example is MsPowerpoint. The transition process between slides in presentation tools will be more easily done through speech, the sound emitted directly by the user during the presentation. This study uses research and development to create a simulation using Backpropagation ANN for speech recognition from number one to five to navigate slides of the presentation tool. The Backpropagation ANN consists of one input layer, one hidden layer with 100 neurons and one output layer. The simulation is built by using a Neural Network Toolbox Matlab R2014a. Speech samples were taken from five different people with wav format. This research shows that the Backpropagation ANN can be used as navigation through speech with 96% accuracy rate based on the network training result. Thesimulation can produce 63% accuracy based on 100 new speech samples from various sources.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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