• 대한음성학회:학술대회논문집
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• 대한음성학회 2002년도 11월 학술대회지
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• pp.41-44
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• 2002

This paper is related to the enhancement of speech recognition rate using enhanced pronunciation dictionary. Modern large vocabulary, continuous speech recognition systems have pronunciation dictionaries. A pronunciation dictionary provides pronunciation information for each word in the vocabulary in phonemic units, which are modeled in detail by the acoustic models. But in most speech recognition system based on Hidden Markov Model, actual pronunciation variations are disregarded. Without the pronunciation variations in the speech recognition system, the phonetic transcriptions in the dictionary do not match the actual occurrences in the database. In this paper, we proposed the unvoiced rule of semivowel in allophone rules to pronunciation dictionary. Experimental results on speech recognition system give higher performance than existing pronunciation dictionaries.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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• pp.1598-1601
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• 1987

This paper proposes a new set of topological features (primitives) for use with a syntactic recognizer for high-accuracy recognition of printed alphanumeric characters. The recognition is accomplished on nine character groups, where each group has different combinations of four feature points. A skeleton enhancement eliminating isolated points and smoothing irregular points is developed. The tree automata processed in parallel enables the realization of high-recognition speeds and font-type independent recognition. The proposed character recognition system is tested for alphanumeric character fonts of dot matrix printer and plotter using IBM-PC/XT.

• 감성과학
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• 제17권1호
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• pp.53-62
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• 2014

인간의 감정을 인식하는 기술은 많은 응용분야가 있음에도 불구하고 감정 인식의 어려움으로 인해 쉽게 해결되지 않는 문제로 남아 있다. 인간의 감정 은 크게 영상과 음성을 이용하여 인식이 가능하다. 감정 인식 기술은 영상을 기반으로 하는 방법과 음성을 이용하는 방법 그리고 두 가지를 모두 이용하는 방법으로 많은 연구가 진행 중에 있다. 이 중에 특히 인간의 감정을 가장 보편적으로 표현되는 방식이 얼굴 영상을 이용한 감정 인식 기법에 대한 연구가 활발히 진행 중이다. 그러나 지금까지 사용자의 환경과 이용자 적응에 따라 많은 차이와 오류를 접하게 된다. 본 논문에서는 감정인식률을 향상시키기 위해서는 이용자의 내면적 성향을 이해하고 분석하여 이에 따라 적절한 감정인식의 정확도에 도움을 주어서 감정인식률을 향상 시키는 메카니즘을 제안하였으며 본 연구는 이러한 이용자의 내면적 성향을 분석하여 감정 인식 시스템에 적용함으로 얼굴 표정에 따른 감정인식에 대한 오류를 줄이고 향상 시킬 수 있다. 특히 얼굴표정 미약한 이용자와 감정표현에 인색한 이용자에게 좀 더 향상된 감정인식률을 제공 할 수 있는 방법을 제안하였다.

• 전기학회논문지P
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• 제67권2호
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• pp.75-81
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• 2018

In this paper for developing and implementing the car driver's front lane attention enhancement developed system using the car camera. The developed system automatically alarm the car driver when front cars make the dangerous situation. We use Raspberry Pi camera module V2 as car camera module, Raspberry Pi 3 board as hardware main board of implementing embedded system and develop the application library module which can be operated on the Raspberry situation. The application library module widely consist of two part, front car recognition part and dangerous situation distinguish part. Our developed system satisfy the performance test of the target system at the software test certification laboratory of TTA(Telecommunication Technology Association). We test four items as attentive car recognition ability at day and night, system performance, response time. We get the performance of developed system based on the four goal. The car driver's front lane attention enhancement system in this paper will be widely used at the ADAS(Advanced Driving Assistance System) because of the better performance and function.

• 한국통신학회논문지
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• 제14권4호
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• pp.398-404
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• 1989

광굴절 효과를 갖는 $BaTiO_2$단결정에서의 실시간 홀로그램을 이용한 광패턴인식 시스템을 해석하고 실험하였다. 시스템의 패턴 판별능력을 높이기 위해 edge enhancement 기법을 도입하였으며, 주파수 평면 상관기 구조로 구성된 시스템은 5.5mW의 저출력 광원으로도 8sec 이내에 패턴인식이 가능하였다.

• 대한음성학회지:말소리
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• 제60호
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• pp.181-190
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• 2006

This paper describes a speech enhancement scheme that leads to significant improvements in recognition performance when used in the ASR front-end. The proposed approach is based on adaptive comb filtering and an MMSE-related parameter estimator. While adaptive comb filtering reduces noise components remarkably, it is rarely effective in reducing non-stationary noises. Furthermore, due to the uniformly distributed frequency response of the comb-filter, it can cause serious distortion to clean speech signals. This paper proposes an improved comb-filter that adjusts its spectral magnitude to the original speech, based on the speech absence probability and the gain modification function. In addition, we introduce the modified comb filtering-based speech enhancement scheme for ASR in mobile environments. Evaluation experiments carried out using the Aurora 2 database demonstrate that the proposed method outperforms conventional adaptive comb filtering techniques in both clean and noisy environments.

• 농업과학연구
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• 제49권4호
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• pp.737-747
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• 2022

The purpose of this study is to analyze farmers' perceptions of Greenhouse Gas Reduction Projects and identify factors influencing participation in the projects. To achieve the research objective, a survey was conducted and a probit model was adopted for the empirical analysis. The results showed that farmers do not participate in the projects due to a lack of education and promotion and due to economic loss. It also showed that the frequency of training and technical guidance learning, degree of recognition of the need for efforts to reduce greenhouse gases, and the level of recognition of the projects concerned have a positive impact on the willingness to participate in the projects. Meanwhile, participation in agricultural environment conservation programs has a negative impact on it. Enhancement of education and promotion as well as economic support (direct payment, R&D) would be useful to raise the willingness to participate in the projects.

• 한국콘텐츠학회지
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• 제12권3호
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• pp.39-43
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• 2014

• 대한음성학회:학술대회논문집
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• 대한음성학회 2002년도 11월 학술대회지
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• pp.191-194
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• 2002

Lip-reading technology that is studied them is used to compensate speech recognition degradation in noise environment in bi-modal's form. The most important thing is that search for correct lips area in this lip-reading. But, it is hard to forecast stable performance in dynamic environment. Used RASTA filter that show good performance to remove noise in the speech to compensate. This filter shows that improve performance of using time domain of digital filter. To this experiment observes performance of speech recognition only using image information, service chooses possible 22 words and did recognition experiment in car. We used hidden Markov model by speech recognition algorithm to compare this words' recognition performance.

• Journal of Advanced Marine Engineering and Technology
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• 제32권5호
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• pp.791-797
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• 2008

The officer of the deck(OOD) may sometimes have to carry out lookout as well as handling of auto pilot without a quartermaster at sea. The purpose of this paper is to develop the ship's auto pilot control module using speech recognition in order to reduce the potential risk of one man bridge system. The feature parameters predicting the OOD's intention was extracted from the sample wheel orders written in SMCP(IMO Standard Marine Communication Phrases). We designed a pre-recognition procedure which could make some candidate words using DTW(Dynamic Time Warping) algorithm, a post-recognition procedure which made a final decision from the candidate words using the feature parameters. To evaluate the effectiveness of these procedures the experiment was conducted with 500 wheel orders.