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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제17권 제4호
- 발행연도
- 2021.8
- 수록면
- 754 - 771 (18page)
- DOI
- 10.3745/JIPS.02.0161
이용수
초록· 키워드
오류제보하기
In the task of continuous dimension emotion recognition, the parts that highlight the emotional expression arenot the same in each mode, and the influences of different modes on the emotional state is also different.
Therefore, this paper studies the fusion of the two most important modes in emotional recognition (voice andvisual expression), and proposes a two-mode dual-modal emotion recognition method combined with theattention mechanism of the improved AlexNet network. After a simple preprocessing of the audio signal andthe video signal, respectively, the first step is to use the prior knowledge to realize the extraction of audiocharacteristics. Then, facial expression features are extracted by the improved AlexNet network. Finally, themultimodal attention mechanism is used to fuse facial expression features and audio features, and the improvedloss function is used to optimize the modal missing problem, so as to improve the robustness of the model andthe performance of emotion recognition. The experimental results show that the concordance coefficient of theproposed model in the two dimensions of arousal and valence (concordance correlation coefficient) were 0.729and 0.718, respectively, which are superior to several comparative algorithms.
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참고문헌 (18)
참고문헌 신청
R. Jamwal / 2020 / The use of electronic assistive technology for social networking by people with disability living in shared supported accommodation / Disability and Rehabilitation : Assistive Technology 15(1):101~108
S. Sharma / 2020 / Use of social networking sites by SMEs to engage with their customers : a developing country perspective / Journal of Internet Commerce 19(1):62~81
D. Tiwari / 2019 / Ensemble approach for twitter sentiment analysis / International Journal of Information Technology and Computer Science 11(8):20~26
R. Bhargava / 2019 / Neural network-based architecture for sentiment analysis in Indian languages / Journal of Intelligent Systems 28(3):361~375
J. McDonald / 2020 / Advancing text-analysis to tap into the student voice : a proof-of-concept study / Assessment & Evaluation in Higher Education 45(1):154~164
S. Sharma / 2020 / Use of social networking sites by SMEs to engage with their customers : a developing country perspective / Journal of Internet Commerce 19(1):62~81
D. Tiwari / 2019 / Ensemble approach for twitter sentiment analysis / International Journal of Information Technology and Computer Science 11(8):20~26
R. Bhargava / 2019 / Neural network-based architecture for sentiment analysis in Indian languages / Journal of Intelligent Systems 28(3):361~375
J. McDonald / 2020 / Advancing text-analysis to tap into the student voice : a proof-of-concept study / Assessment & Evaluation in Higher Education 45(1):154~164
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