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CNN을 이용한 음성 데이터 성별 및 연령 분류 기술 연구
박대서(Dae-Seo Park),방준일(Joon-Il Bang),김화종(Hwa-Jong Kim),고영준(Young-Jun Ko) 한국정보기술학회 2018 한국정보기술학회논문지 Vol.16 No.11
Research is carried out to categorize voices using Deep Learning technology. The study examines neural networkbased sound classification studies and suggests improved neural networks for voice classification. Related studies studied urban data classification. However, related studies showed poor performance in shallow neural network. Therefore, in this paper the first preprocess voice data and extract feature value. Next, Categorize the voice by entering the feature value into previous sound classification network and proposed neural network. Finally, compare and evaluate classification performance of the two neural networks. The neural network of this paper is organized deeper and wider so that learning is better done. Performance results showed that 84.8 percent of related studies neural networks and 91.4 percent of the proposed neural networks. The proposed neural network was about 6 percent high.