배경음 및 잡음에 강인한 위험 소리 탐지에 관한 연구A Study on Hazardous Sound Detection Robust to Background Sound and Noise
- Other Titles
- A Study on Hazardous Sound Detection Robust to Background Sound and Noise
- Authors
- 하태민; 강상훈; 조성원
- Issue Date
- 2021
- Publisher
- 한국멀티미디어학회
- Keywords
- Background Sound; Noise; Robust; Hazardous; Sound Detection
- Citation
- 멀티미디어학회논문지, v.24, no.12, pp.1606 - 1613
- Journal Title
- 멀티미디어학회논문지
- Volume
- 24
- Number
- 12
- Start Page
- 1606
- End Page
- 1613
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/24412
- ISSN
- 1229-7771
- Abstract
- Recently various attempts to control hardware through integration of sensors and artificial intelligence have been made. This paper proposes a smart hazardous sound detection at home. Previous sound recognition methods have problems due to the processing of background sounds and the low recognition accuracy of high-frequency sounds. To get around these problems, a new MFCC(Mel-Frequency Cepstral Coefficient) algorithm using Wiener filter, modified filterbank is proposed. Experiments for comparing the performance of the proposed method and the original MFCC were conducted. For the classification of feature vectors extracted using the proposed MFCC, DNN(Deep Neural Network) was used. Experimental results showed the superiority of the modified MFCC in comparison to the conventional MFCC in terms of 1% higher training accuracy and 6.6% higher recognition rate.
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Collections - College of Engineering > School of Electronic & Electrical Engineering > 1. Journal Articles
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