• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.191-208
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• 2012

Two fundamental aspects of speech summary generation are the extraction of key speech content and the style of presentation of the extracted speech synopses. We first investigated whether acoustic features (speaking rate, pitch pattern, and intensity) are equally important and, if not, which one can be effectively modeled to compute the significance of segments for lecture summarization. As a result, we found that the intensity (that is, difference between max DB and min DB) is the most efficient factor for speech summarization. We evaluated the intensity-based method of using the difference between max-DB and min-DB by comparing it to the keyword-based method in terms of which method produces better speech summaries and of how similar weight values assigned to segments by two methods are. Then, we investigated the way to present speech summaries to the viewers. As such, for speech summarization, we suggested how to extract key segments from a speech video efficiently using acoustic features and then present the extracted segments to the viewers.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.424-427
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• 2017

지금까지 사람들의 말하기 습관을 분석하는 것은 전문가나 다른 사람들의 피드백을 통해 이루어졌다. 이는 평가하는 사람에 따라 다른 결과가 나타날 수 있기 때문에 다소 객관성이 떨어지며 직접 대면이 요구되기 때문에 훈련할 수 있는 시간과 공간에 제약이 있었다. 또 지금까지의 말하기 훈련이라 함은 면접 스피치나 발표 스피치 등 특정 목적을 가지고 진행되었기 때문에 말하기에 있어서의 통합적인 훈련을 받기 어려웠다. 본 연구에서는 가장 기초적인 말하기 습관에 초점을 맞추고 말하기 능력을 '어휘력', '계속성', '발음', '속도'라는 4개의 영역으로 나누어 각 영역을 분석하는 알고리즘을 제시한다. 이 알고리즘을 활용한다면 모두 같은 메커니즘을 통해 분석이 이루어지기 때문에 객관성을 보장할 수 있으며 어플리케이션을 활용해 시간과 공간의 제약을 받지 않고 말하기 습관 개선을 위한 훈련을 할 수 있을 것이다.

• The Korean Journal of Applied Statistics
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• v.35 no.1
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• pp.147-159
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• 2022

Nowadays, various social media platforms are widely spread and people closely use such platforms in daily life. By doing so, social influencers with a large number of subscribers, views, and comments have huge impact in our society. Following this trend, many companies are actively using influencers for marketing purpose to promote their products and services. In this study, we extract the speeches of influencers from videos for game marketing and analyze them using various text mining techniques. In the analysis, we distinguish game videos leading to successful marketing and failed marketing, and we explore and compare the linguistic features of the influencers for successful and failed marketings.

• 월간산업보건
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• s.364
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• pp.62-63
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• 2018

고대 철학자 세네카는 '사람은 가르치면서 배운다'라는 명언을 남겼다. 배움은 가르침 속에도 존재한다는 뜻일 것이다. 사내강사양성교육 참여는 이 말의 뜻을 몸소 느낄 수 있는 기회였다. 교육이 시작되는 5월 16일 아침, 원주 치악산 호텔로 향했다. 많은 사람들 앞에서 발표해 본 경험이 적은 나는 교육시간이 다가올수록 발표를 해야 한다는 생각에 긴장되었다. 교육이 시작되고, 조별로 나누어 앉아 자신에 대해 1분 스피치를 하는 시간이 주어졌다.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.152-164
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• 2022

This thesis explores the relationship between Dominic Cooke's film (2017) and classical music. To analyze the relationship, researchers applied precedent research to the study. The relationship between the final scene of the movie King's Speech (2010) and the volume and instrumental changes of the Beethoven Symphony is analyzed by David Bashwiner, and Soohwan Ahn analyzed semantic association between the hotel conversation scene in a and Debussy's Arabesque. In addition, the study of application of Schumann's Träumerei to films was used as a methodology to find out how extra-musical information build meaningful sonority. Mozart's K.593, Haydn's Op.77 No.1, and Schubert's D.810 were used in the movie . This study analyzed the functions of Mozart, Haydn, and Schubert's music in . In order to express the relationship between the characters and their inner intentions, this film utilized the relationship between instruments, musical information and non-musical information of the pieces. Through this study, it is analyzed that the information of classical music functions and the core information of the plot of the movie combine together to improve the understanding of narrative.