http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
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RISS 인기검색어
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- 저자 : 김정희(jounghee kim) (검색결과 4 건)
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Consistency Regularization을 적용한 멀티모달 한국어 감정인식
김정희(Jounghee Kim),강필성(Pilsung Kang) 대한산업공학회 2021 대한산업공학회 추계학술대회논문집 Vol.2021 No.11
Recently, the demand for artificial intelligence-based voice services, identifying and appropriately responding to user needs based on voice, is increasing. In particular, technology for recognizing emotions, which is non-verbal information of human voice, is receiving significant attention to improve the quality of voice services. Therefore, speech emotion recognition models based on deep learning is actively studied with rich English data, and a multi-modal emotion recognition framework with a speech recognition module has been proposed to utilize both voice and text information. However, the framework with speech recognition module has a disadvantage in an actual environment where ambient noise exists. The performance of the framework decreases along with the decrease of the speech recognition rate. In addition, it is challenging to apply deep learning-based models to Korean emotion recognition because, unlike English, emotion data is not abundant. To address the drawback of the framework, we propose a consistency regularization learning methodology that can reflect the difference between the content of speech and the text extracted from the speech recognition module in the model. We also adapt pre-trained models with self-supervised way such as Wav2vec 2.0 and HanBERT to the framework, considering limited Korean emotion data. Our experimental results show that the framework with pre-trained models yields better performance than a model trained with only speech on Korean multi-modal emotion dataset. The proposed learning methodology can minimize the performance degradation with poor performing speech recognition modules.
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김정희,조남청,한혜경 韓國病院藥師會 2005 병원약사회지 Vol.22 No.2
The end-stage renal disease patients have chronic disease status since they are accompanied by various complication such as diabetes mellitus and hypertension etc., and also they have low recognition degree for medicine since they take lots of medicine. This decreases patient compliance and also increases the reduction of the treatment effect and the risk of complication. To be against the one time patient consultation having only verbally conducted in prior, we have recorded information for patients, monitored clinical laboratory data and recorded patient consultation contents. Subsequently, we have provided doctors with the matters which discovered in the patient consultation as a problem. We have estimated the change of patient cognizance degree for patient consultation by comparing and analyzing first questionnaire survey (2004.3) before educating and next questionnaire survey (2004.7) after educating for 5 months. After education, patients have improved in the expectation degree of pharmacotherapy for medicine, increased in the understanding degree for name, effect and reason for one's taking medicine, and kept in dosing method and dosing time, and thereby, we were able to know that patient compliance is improved. In survey, the reply to conduct dietary therapy was increased from 28% to 48%, and the reply to obtain any information for medicines from pharmacist was increased from 20% to 45%, therefore we were able to know which patients naturally cognized the patient consultation of pharmacists.
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