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KMID : 1137820180390020063
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의공학회지
2018 Volume.39 No. 2 p.63 ~ p.68
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Development of Age Classification Deep Learning Algorithm Using Korean Speec
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So Soon-Won
You Sung-Min
Kim Joo-Young
Ahn Hyun-Jun
Cho Baek-Hwan
Yook Sun-Hyun
Kim In-Young
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Abstract
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In modern society, speech recognition technology is emerging as an important technology for identification in electronic commerce, forensics, law enforcement, and other systems. In this study, we aim to develop an age classification algorithm for extracting only MFCC(Mel Frequency Cepstral Coefficient) expressing the characteristics of speech in Korean and applying it to deep learning technology. The algorithm for extracting the 13th order MFCC from Korean data and constructing a data set, and using the artificial intelligence algorithm, deep artificial neural network, to classify males in their 20s, 30s, and 50s, and females in their 20s, 40s, and 50s. finally, our model confirmed the classification accuracy of 78.6% and 71.9% for males and females, respectively.
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KEYWORD
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Deep Neural Network, Artificial Intelligence, Speech Classification, Speech Recognition, Age Classification
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