http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Directional Filter와 Harmonic Filter 기반 화자 분리
백승은,김진영,나승유,최승호,Baek, Seung-Eun,Kim, Jin-Young,Na, Seung-You,Choi, Seung-Ho 한국음성학회 2005 음성과학 Vol.12 No.3
Automatic speech recognition is much more difficult in real world. Speech recognition according to SIR (Signal to Interface Ratio) is difficult in situations in which noise of surrounding environment and multi-speaker exists. Therefore, study on main speaker's voice extractions a very important field in speech signal processing in binaural sound. In this paper, we used directional filter and harmonic filter among other existing methods to extract the main speaker's information in binaural sound. The main speaker's voice was extracted using directional filter, and other remaining speaker's information was removed using harmonic filter through main speaker's pitch detection. As a result, voice of the main speaker was enhanced.
카릴 처칠의 『소유자들』에 나타난 여성의 경제력과 모성
백승은 ( Seung-eun Baek ) 21세기영어영문학회 2021 영어영문학21 Vol.34 No.4
The purpose of this study is to analyze the reversal of conventional gender roles, women’s economic power and motherhood in Caryl Churchill’s Owners. In Owners, male characters are passive and dependent on their wives, whereas female characters are more active and independent. Churchill avoids focusing on mere biological differences and displays new directions and possibilities for women’s liberation. This paper examines how women’s economic power affects the domestic environment and relationship with a husband through an analysis of two female characters. This paper also discusses motherhood, which has been idealized and degraded by men, and revitalize the power of motherhood that is exerted not only in the domestic environment and personal aspects, but also in the social aspect. Owners shows that women should have economic means which will provide them with independence and liberation from oppression and have motherhood to change themselves and others. Both economic power and motherhood could be a powerful methods in overcoming oppression.
개선된 Google Activity Recognition을 이용한 상황인지 모델
백승은 ( Seung Eun Baek ),박상원 ( Sang Won Park ) 한국정보처리학회 2015 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.4 No.1
Activity recognition technology is gaining attention because it can provide useful information follow user’s situation. In research of activity recognition before smartphone’s dissemination, we had to infer user’s activity by using independent sensor. But now, with development of IT industry, we can infer user’s activity by using inner sensor of smartphone. So, more animated research of activity recognition is being implemented now. By applying activity recognition system, we can develop service like recommending application according to user’s preference or providing information of route. Some previous activity recognition systems have a defect using up too much energy, because they use GPS sensor. On the other hand, activity recognition system which Google released recently (Google Activity Recognition) needs only a few power because it use ‘Network Provider’ instead of GPS. Thus it is suitable to smartphone application system. But through a result from testing performance of Google Activity Recognition, we found that is difficult to getting user’s exact activity because of unnecessary activity element and some wrong recognition. So, in this paper, we describe problems of Google Activity Recognition and propose AGAR(Advanced Google Activity Recognition) applied method to improve accuracy level because we need more exact activity recognition for new service based on activity recognition. Also to appraise value of AGAR, we compare performance of other activity recognition systems and ours and explain an applied possibility of AGAR by developing exemplary program.