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한국어 음성을 이용한 연령 분류 딥러닝 알고리즘 기술 개발Development of Age Classification Deep Learning Algorithm Using Korean Speech
- Other Titles
- Development of Age Classification Deep Learning Algorithm Using Korean Speech
- Issue Date
- Apr-2018
- Publisher
- 대한의용생체공학회
- Keywords
- Deep Neural Network; Artificial Intelligence; Speech Classification; Speech Recognition; Age Classification
- Citation
- 의공학회지, v.39, no.2, pp.63 - 68
- Indexed
- KCI
- Journal Title
- 의공학회지
- Volume
- 39
- Number
- 2
- Start Page
- 63
- End Page
- 68
- ISSN
- 1229-0807
- Abstract
- 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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Collections - 서울 의과대학 > 서울 의공학교실 > 1. Journal Articles
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Related Researcher
- Kim, In Young
- COLLEGE OF MEDICINE (DEPARTMENT OF BIOMEDICAL ENGINEERING)