• Title/Summary/Keyword: 소리 인식

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A review of speech perception: The first step for convergence on speech engineering (말소리지각에 대한 종설: 음성공학과의 융복합을 위한 첫 단계)

  • Lee, Young-lim
    • Journal of Digital Convergence
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    • v.15 no.12
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    • pp.509-516
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    • 2017
  • People observe a lot of events in our environment and we do not have any difficulty to perceive events including speech perception. Like perception of biological motion, two main theorists have debated on speech perception. The purpose of this review article is to briefly describe speech perception and compare these two theories of speech perception. Motor theorists claim that speech perception is special to human because we both produce and perceive articulatory events that are processed by innate neuromotor commands. However, direct perception theorists claim that speech perception is not different from nonspeech perception because we only need to detect information directly like all other kinds of event. It is important to grasp the fundamental idea of how human perceive articulatory events for the convergence on speech engineering. Thus, this basic review of speech perception is expected to be able to used for AI, voice recognition technology, speech recognition system, etc.

The Effects of a History Book Implementing Augmented Reality on Flow of Reading, Interest, and Knowledge Acquisition (증강현실 활용 독서가 역사 독서 몰입, 흥미 및 지식 습득에 미치는 영향)

  • Kim, Seojin;Lee, Yekyung
    • Journal of Digital Convergence
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    • v.16 no.10
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    • pp.453-463
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    • 2018
  • This study investigated the effects of an Augmented Reality(AR) implemented book on flow of reading, interest in history, and acquisition of history knowledge. Perceptions of AR infused books were investigated as well. Researchers provided a history book implementing AR and the same book without any AR content respectively to an experiment group(n=15) and a control group(n=15) composed of $3^{rd}$ and $4^{th}$ grade elementary school children. Results indicate that AR implemented reading had a positive effect on the flow of reading and interest in history, but not on acquisition of history knowledge. Also, AR-based contents were attractive to learners due to its amusing characters, sound, realistic visual motions, and vivid three-dimensional effects. Lastly, students preferred amusing interesting characters, lengthier animations and subtitles, and AR that could be seen without holding smart devices for a long while.

Intelligent Abnormal Event Detection Algorithm for Single Households at Home via Daily Audio and Vision Patterns (지능형 오디오 및 비전 패턴 기반 1인 가구 이상 징후 탐지 알고리즘)

  • Jung, Juho;Ahn, Junho
    • Journal of Internet Computing and Services
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    • v.20 no.1
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    • pp.77-86
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    • 2019
  • As the number of single-person households increases, it is not easy to ask for help alone if a single-person household is severely injured in the home. This paper detects abnormal event when members of a single household in the home are seriously injured. It proposes an vision detection algorithm that analyzes and recognizes patterns through videos that are collected based on home CCTV. And proposes audio detection algorithms that analyze and recognize patterns of sound that occur in households based on Smartphones. If only each algorithm is used, shortcomings exist and it is difficult to detect situations such as serious injuries in a wide area. So I propose a fusion method that effectively combines the two algorithms. The performance of the detection algorithm and the precise detection performance of the proposed fusion method were evaluated, respectively.

Sleep Monitoring by Contactless in daily life based on Mobile Sensing (모바일 센싱 기반의 일상생활에서 비접촉에 의한 수면 모니터링)

  • Seo, Jung-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.3
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    • pp.491-498
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    • 2022
  • In our daily life, quality of sleeping is closely related to happiness index. Whether or not people perceive sleep disturbance as a chronic disease, people complain of many difficulties, and in their daily life, they often experience difficulty breathing during sleep. It is very important to automatically recognize breathing-related disorders during a sleep, but it is very difficult in reality. To solve this problem, this paper proposes a mobile-based non-contact sleeping monitoring for health management at home. Respiratory signals during the sleep are collected by using the sound sensor of the smartphone, the characteristics of the signals are extracted, and the frequency, amplitude, respiration rate, and pattern of respiration are analyzed. Although mobile health does not solve all problems, it aims at early detection and continuous management of individual health conditions, and shows the possibility of monitoring physiological data such as respiration during the sleep without additional sensors with a smartphone in the bedroom of an ordinary home.

Development of Elementary School AI Education Contents using Entry Text Model Learning (엔트리 텍스트 모델 학습을 활용한 초등 인공지능 교육 내용 개발)

  • Kim, Byungjo;Kim, Hyenbae
    • Journal of The Korean Association of Information Education
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    • v.26 no.1
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    • pp.65-73
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    • 2022
  • In this study, by using Entry text model learning, educational contents for artificial intelligence education of elementary school students are developed and applied to actual classes. Based on the elementary and secondary artificial intelligence content table, the achievement standards of practical software education and artificial intelligence education will be reconstructed.. Among text, images, and sounds capable of machine learning, "production of emotion recognition programs using text model learning" will be selected as the educational content, which can be easily understood while reducing data preparation time for elementary school students. Entry artificial intelligence is selected as an education platform to develop artificial intelligence education contents that create emotion recognition programs using text model learning and apply them to actual elementary school classes. Based on the contents of this study, As a result of class application, students showed positive responses and interest in the entry AI class. it is suggested that quantitative research on the effectiveness of classes for elementary school students is necessary as a follow-up study.

Analysis of the Music based on Time series (시계열을 이용한 음악의 해석)

  • 손세호;이중우;권순학
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.113-116
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    • 2001
  • This paper describes an analysis of the music as a time series and the fuzzy logic-based modeling of it. All music is made up of a finite number of musical notations known as the musical symbols, such as clefs, staff, tine signature, notes, rests, etc. . The musical score uses musical symbols to present various characteristics, such as rhythm, melody, chord, etc,. for interpreting the music. In this paper, it is possible to transform the beat and pitch in the musical into time series from the viewpoint of recognizing beat and pitch of sounding tone at each time. On the basis of the identified features of the musical score, a musical score is represented as a time series and then is constructed to fuzzy logic-based model for predicting them. Examples are presented to illustrate the validity of the proposed method.

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Development of Next Generation Sonar by Acoustic Lens (음향렌즈를 이용한 차세대 소나개발)

  • Choi, Jo-Cheon;Kim, Sang-Hoon;Lee, Seong Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.12
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    • pp.1318-1322
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    • 2014
  • We develop new sonar system by way of acoustic focusing which is totally different from conventional one in principle. It focuses input wave on the opposite edge of the lens without aberration perfectly. Then, the motion of acoustic source is read by naked eyes. It can be used as an acoustic window deep underwater by converting sound into light. We introduce the sonar in actual size that can be used underwater and report current situation of the development.

Korean Talking Animation for User Interface Agent Environment (사용자 인터페이스 에이젼트 환경을 위한 국어 발음 애니메이션)

  • Choe, Seung-Keol;Lee, Mi-Seung;Kim, Woong-Soon
    • Annual Conference on Human and Language Technology
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    • 1996.10a
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    • pp.284-297
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    • 1996
  • 사용자가 컴퓨터와 자연스럽고 인간적으로 대화할 수 있고, 사람의 요구에 지능적인 해답을 능동적으로 제시할 수 있는 사용자 인터페이스 에이전트가 활발히 연구되고 있다. 음성, 펜, 제스쳐인식 등을 비롯한 다양한 방법을 통하여 사람의 의사전달방식을 컴퓨터의 입력수단으로 구현하여 사용자 편의성을 도모하고 있다. 본 논문에서는 컴퓨터를 블랙박스로 하고, 표면적으로 지능형 3차원 그래픽 얼굴 에이전트와 사용자가 의사소통을 하는 사용자 인터페이스를 대상으로 하였다. 컴퓨터가 단순문제 해결을 위한 도구에서 많은 정보를 다양한 매체를 통해 제공하는 보조자의 역할을 수행하게 되었기 때문에 위의 방법은 보다 적극적인 방법이라 할 수 있다. 이를 위한 기반 기술로써 국어를 발음하는 얼굴 애니메이션을 연구하였다. 발음을 표현하기 위한 데이터로써 디지털 카메라를 사용하여 입술 운동의 특징점의 위치를 조사하였고, 모델링 시스템을 개발하여 데이터를 입력하였다. 적은 데이터로도 복잡한 자유곡면을 표현할 수 있는 B-Spline곡면을 기본데이터로 사용하였기 때문에 애니메이션을 위한 데이터의 양 또한 줄일 수 있었다. 그리고 국어음소의 발음시간 수열에 대한 입술모양의 변화를 조사하여 발음소리와 입술 움직임을 동기화 시킨 발음 애니메이션을 구현하였다.

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Augmented Multimedia E-commerce System using Person Wide Web (Person Wide Web 기술을 활용한 증강형 멀티미디어 상거래)

  • Han, Sang-Sook;Kim, Byung-Ho;Eun, Seong-Bae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.1
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    • pp.81-88
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    • 2011
  • Augmented multimedia is a technology to provide additional informations to mobile devices when multimedia contents like video, audio and images are being played. Person Wide Web, PWW, is a scheme for acquiring a link and browsing a corresponding web pages on mobile devices, in which the link is attached any object and space in real world. In this paper we proposed an augmented multimedia E-commerce application system based on PWW scheme which can browse additional informations from video play on public spaces, and implemented on Microsoft Silverlight platform. We showed that the proposed system can support effectively the augmented multimedia E-commerce.

Blocking of Internet Harmful Pornographic Sites by Contents-based Method (음란콘텐츠에 기반한 유해 음란 사이트의 차단)

  • 조동욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.6B
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    • pp.554-562
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    • 2004
  • This paper proposes on the technical blocking method of Internet harmful pornographic sites which is the most Internet negative-function. At Present, most technical methods based on web sites back-searching or words filtering for blocking the pornographic Internet sites have limitations. For this, this paper proposes the acoustic and image based blocking method for filtering harmful Internet sites. For this, sexual main body parts are extracted by texture analysis and curve fitting. Also acoustic signals are analyzed using pratt tool and auto-correlation function is adopted for matching between prototype signals and test signals. Finally, the effectiveness of this paper is demostrated by several experiments.