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감정 인지를 위한 음성 및 텍스트 데이터 퓨전: 다중 모달 딥 러닝 접근법
Speech and Textual Data Fusion for Emotion Detection: A Multimodal Deep Learning Approach
에드워드카야디 ( Edward Dwijayanto Cahyadi ) , 송미화 ( Mi-hwa Song )
UCI I410-ECN-151-24-02-089051565
이 자료는 4페이지 이하의 자료입니다.

Speech emotion recognition(SER) is one of the interesting topics in the machine learning field. By developing multi-modal speech emotion recognition system, we can get numerous benefits. This paper explain about fusing BERT as the text recognizer and CNN as the speech recognizer to built a multi-modal SER system.

[자료제공 : 네이버학술정보]
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