• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.837-840
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• 2003

PDA와 같은 휴대용 컴퓨터는 장소에 구애받지 않고 어디에서든지 사용할 수 있다는 장점이 있다. 본 논문에서는 이러한 PDA의 장점을 살려 여행자들이 여행을 하는 도중 어디서든지 부산경남 지역의 문화 관광 정보 및 숙박 시설 등에 대한 정보를 안내받을 수 있는 휴대용 문화관광 안내 시스템을 개발하였다. 개발된 시스템은 ADOCE(Microsoft ActiveX Data Objects for Windows CE)를 이용 데이터베이스와의 연동으로 부산 경남의 문화 관광 정보, 테마 언행, 숙박시설, 교통, 먹거리 등에 대한 정보들을 단순한 텍스트 정보만이 아닌 동영상, 음성, 지도 정보 등으로 제공한다. 여행자들에게 현 위치에서 다른 위치로 이동하고자 한 때 필요한 대략적인 지리 정보와 이동 거리 등에 대한 정보를 제공한다. 또한 여행자들이 관광지에 대한 여행기를 펜과 음성으로 기록하여 PC로 전송할 수 있는 기능을 제공한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.2
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• pp.120-126
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• 2009

In order to reduce the noise quantity in a conversation under the noisy environment it is necessary for the signal processing system to process adaptively according to the noise quantity in order to enhance the performance. Therefore this paper presents a recognition method for noise quantity by linear predictive coefficient using a three layered neural network, which is trained using three kinds of speech that is degraded by various background noises. The performance of the proposed method for the noise quantity was evaluated based on the recognition rates for various noises. In the experiment, the average values of the recognition results were 98.4% or more for such noise using Aurora2 database.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.6
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• pp.1236-1243
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• 2003

In this paper, we designed and implemented a practice-oriented simulation-type web courseware to learn the ‘Digital Circuits’ subject effectively. The implemented web courseware utilized multimedia elements such as graphics, animations, and voices etc. for improving understanding and interaction of learning. Also, the web courseware could be easily updated a learning information by using database built in a web server system. In result, the implemented web courseware could encourage a learner with a motive of learning and improve effects of learning. Also, a learner can widely learn because we can add various contents to database according to need. Furthermore, the web courseware could improve understanding for learning by offering feedback on the result.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.4
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• pp.821-827
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• 2009

Currently, with the development of web 2.0 knowledge sharing system became more and more important. In this paper, we proposed and implemented seminar assistant system using database system and knowledge sharing system on public seminar. We recorded speaker's voice and presentation files on our system and user can review past talks on our seminar review systems. Our database system is implemented using MS SQL, and Input/Output Completion Port(IOCP) socket model as our server side network module. Also we used presentation software using Direct Show with MFC and Windows Presentation Foundation(WPF). and our review system is based on WFP programmed with C# language.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.343-347
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• 2002

In this paper, we can easily update teaming information by using database built in web server system in implementation of a web courseware that a learner can effectively team the 'Digital Circuits' subject. Also, we offered multimedia elements such as graphics, animations, and voices etc. for increasing understanding and interaction of teaming and designed and implemented a simulation-type web courseware of practice-oriented. In result, it can encourage a learner with a motive of learning and increase effects of teaming. Also, a learner can learn various contents because we can add teaming contents to database according to needs. Furthermore, it can improve understanding for teaming by offering feedback on the result. In future, we need to design and implement circuits with more complex and many functions by adding circuit with function that can store.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.501-503
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• 2018

본 논문은 개인에 맞는 외출 시 필요한 정보를 문에 출력하여 외출 준비를 도와주는 스마트 도어 아이디오를 제안한다. 스마트 도어를 활성화 시켜 내장된 웹 카메라로 촬영된 사진을 이용하여 얼굴인식을 수행하고 수행한 결과로 개안 아이디를 통해 데이터베이스를 조작한다. 데이터베이스에 개인 준비물 데이터는 모바일 앱에서는 도어락을 제어하는 추가적인 기능도 수행한다. 개인 중비물외에도 개인 일정, 당일 날씨 및 교통 정보를 스마트 도어 LCD에 출력과 동시에 음성으로 알려준다. 본 논문에서 제시하는 스마트 도어는 LCD에 정보 출력뿐만 아니라 half-mirror와 함께 설계되어 전신 거울 기능도 포함된다. 스마트 도어는 어디에서 사용되는 문에 유용한 기능을 추가하여 공간 활용에 용이하고 필요한 소지품을 잊지 않고 챙길 수 있다.

• Phonetics and Speech Sciences
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• v.16 no.2
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• pp.71-81
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• 2024

This study investigated the perceptions of military personnel toward stuttering and persons who stutter (PWS) using the Public Opinion Survey of Human Attributes of -Stuttering (POSHA-S). A total of 67 military personnel participated in the study (male: 58, female: 9, commissioned officers: 11, non-commissioned officers: 56, with an average age of 31.9 years and a standard deviation of 8.7), and the collected data were analyzed according to the guidelines provided by St. Louis. To compare the perceptions of military personnel toward stuttering and PWS, percentile ranks (%iles) relative to the global POSHA-S database, which were constructed from responses from a total of 20,941 participants from various cultural regions, countries, and groups (as of June 2023), were retrieved. Results showed that the overall stuttering score for military personnel was 7, corresponding to the 14 percentile in the POSHA-S database. In addition, the sub-score for ' self-reactions to PWS' was -11 (8 percentile in the POSHA-S database). These results revealed that military personnel hold more negative attitudes toward stuttering and PWS, overall. These findings emphasized the importance of addressing the lack of accurate information among military personnel, suggesting a need for educational programs mainly aimed at improving the understanding of stuttering and PWS within the military.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.42 no.1
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• pp.13-20
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• 2005

In this paper, I recognized Korean isolated words using CVEM which is suggested by M. Bilginer et al. CVEM is an algorithm which is easy to extract the common properties from training voice signals and also doesn't need complex calculation. In addition CVEM shows high accuracy in recognition results. But, CVEM has couple of problems which are impossible to use for many training voices and no discriminant information among extracted common vectors. To get the optimal common vectors from certain voice classes, various voices should be used for training. But CVEM is impossible to get continuous high accuracy in recognition because CVEM has a limitation to use many training voices and the absence of discriminant information among common vectors can be the source of critical errors. To solve above problems and improve recognition rate, k-clustering subspace method and DCVEM suggested. And did various experiments using voice signal database made by ETRI to prove the validity of suggested methods. The result of experiments shows improvements in performance. And with proposed methods, all the CVEM problems can be solved with out calculation problem.

• KIISE Transactions on Computing Practices
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• v.22 no.2
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• pp.69-76
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• 2016

With the recent increase of the interest in IoT in almost all areas of industry, computing technologies have been increasingly applied in human environments such as houses, buildings, cars, and streets; in these IoT environments, speech recognition is being widely accepted as a means of HCI. The existing server-based speech recognition techniques are typically fast and show quite high recognition rates; however, an internet connection is necessary, and complicated server computing is required because a voice is recognized by units of words that are stored in server databases. This paper, as a successive research results of speech recognition algorithms for the Korean phonemic vowel 'ㅏ', 'ㅓ', suggests an implementation of speech recognition algorithms for the Korean phonemic vowel 'ㅣ'. We observed that almost all of the vocal waveform patterns for 'ㅣ' are unique and different when compared with the patterns of the 'ㅏ' and 'ㅓ' waveforms. In this paper we propose specific waveform patterns for the Korean vowel 'ㅣ' and the corresponding recognition algorithms. We also presents experiment results showing that, by adding neural-network learning to our algorithm, the voice recognition success rate for the vowel 'ㅣ' can be increased. As a result we observed that 90% or more of the vocal expressions of the vowel 'ㅣ' can be successfully recognized when our algorithms are used.

• The Journal of the Acoustical Society of Korea
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• v.15 no.6
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• pp.5-11
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• 1996

This paper is the study for recognizing single vowels of speaker-independent, and we suppose a method of speech recognition using VQ(Vector Quantization)/NN(Neural Network). This method makes a VQ codebook, which is used for obtaining the observation sequence, and then claculates the probability value by comparing each codeword with the data, finally uses these probability values for the input value of the neural network. Korean signle vowels are selected for our recognition experiment, and ten male speakers pronounced eight single vowels ten times. We compare the performance of our method with those of fuzzy VQ/HMM and conventional VQ/NN According to the experiment result, the recognition rate by VQ/NN is 92.3%, by VQ/HMM using fuzzy is 93.8% and by VQ/NN using fuzzy is 95.7%. Therefore, it is shown that recognition rate of speech recognition by fuzzy VQ/NN is better than those of fuzzy VQ/HMM and conventional VQ/HMM because of its excellent learning ability.