• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.201-203
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• 2005

The best method to study language is to talking with a native speaker. A voice recognition technology can be used to develope a language study machine. SD(Speaker dependant) and SI(speaker independant) voice recognition method is used for the language study machine. MP3 Player. FM Radio. Alarm clock functions are added to enhance the value of the product. The machine is designed with a DSP(Digital Signal Processing) chip for voice recognition. MP3 encoder/decoder chip. FM tumer and SD flash memory card. This paper deals with the application of SD ad SD voice recognition. flash memory file system. PC download function using USB ports, English conversation text function by the use of SD flash memory. LCD display control. MP3 encoding and decoding, etc. The study contents are saved in SD flash memory. This machine can be helpful from child to adult by changing the SD flash memory.

• 대한음성학회지:말소리
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• 제51호
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• pp.151-165
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• 2004

For educational and research purposes, a Korean speech recognition platform is designed. It is based on an object-oriented architecture and can be easily modified so that researchers can readily evaluate the performance of a recognition algorithm of interest. This platform will save development time for many who are interested in speech recognition. The platform includes the following modules: Noise reduction, end-point detection, met-frequency cepstral coefficient (MFCC) and perceptually linear prediction (PLP)-based feature extraction, hidden Markov model (HMM)-based acoustic modeling, n-gram language modeling, n-best search, and Korean language processing. The decoder of the platform can handle both lexical search trees for large vocabulary speech recognition and finite-state networks for small-to-medium vocabulary speech recognition. It performs word-dependent n-best search algorithm with a bigram language model in the first forward search stage and then extracts a word lattice and restores each lattice path with a trigram language model in the second stage.

• 한국멀티미디어학회논문지
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• 제8권6호
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• pp.768-775
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• 2005

For sign languages are main communication means among hearing-impaired people, there are communication difficulties between speaking-oriented people and sign-language-oriented people. Automated sign-language recognition may resolve these communication problems. In sign languages, finger spelling is used to spell names and words that are not listed in the dictionary. There have been research activities for gesture and posture recognition using glove-based devices. However, these devices are often expensive, cumbersome, and inadequate for recognizing elaborate finger spelling. Use of colored patches or gloves also cause uneasiness. In this paper, a vision-based finger spelling recognition system is introduced. In our method, captured hand region images were separated from the background using a skin detection algorithm assuming that there are no skin-colored objects in the background. Then, hand postures were recognized using a two-dimensional grid analysis method. Our recognition system is not sensitive to the size or the rotation of the input posture images. By optimizing the weights of the posture features using a genetic algorithm, our system achieved high accuracy that matches other systems using devices or colored gloves. We applied our posture recognition system for detecting Korean Sign Language, achieving better than $93\%$ accuracy.

• 한국산학기술학회논문지
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• 제12권7호
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• pp.3267-3274
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• 2011

최근 다양한 모바일 기기의 사용자 환경과 다양한 음성인식 소프트웨어의 영향으로 음성인식 기술역시 빠르게 발전되고 있다. 그러나 다국어를 대상으로 하는 음성인식의 경우 다국어 혼합음성에 대한 이해 부족과 시스템 성능의 한계로 인하여 원활한 인식율의 개선은 이루어지지 않고 있다. 여러 나라의 혼합 언어로 표현된 음성의 경우 하나의(단일) 음성모델로 구현하는 것이 쉽지 않고, 또한 여러 개의 음성모델을 사용한 시스템의 경우 음성인식 성능의 저하라는 문제점이 있다. 이에 따라 다양한 언어로 구성되어 있는 음성을 하나의 음성모델로 표현할 수 있는 다국어 음성인식 모바일 시스템의 개발 필요성이 증가되고 이에 대한 연구가 필요하다. 본 논문에서는 모바일 시스템에서 다국어 혼합 음성모델을 사용하기 위한 기본연구로써 한국어와 영어 음성을 국제 음성기호(IPA)로 인식하는 통합음성모델 시스템 구축을 연구하였고, 한국어와 영어 음소를 동시에 만족하는 IPA모델을 찾는데 중점을 두어 실험한 결과 우리말 음성은 94.8%, 영어 음성은 95.36%라는 인식률을 얻을 수 있었다.

• 전자공학회논문지
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• 제52권9호
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• pp.77-85
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• 2015

지화(finger language)는 수화(sign language)에 포함되며, 손의 제스쳐로 한글의 모음, 자음을 표현하는 언어 체계이다. 한글 지화는 총 31 제스쳐로 구성되어 있으며, 정확한 인식을 위해서는 하나의 제스쳐에 대해 학습 모델이 많이 필요로 하게 된다. 대량의 학습 모델이 존재할 경우, 입력 데이터는 많은 공간을 탐색하는데 시간을 소비하게 된다. 따라서 실시간 인식 시스템은 이러한 탐색 공간을 줄이는 것이 가장 중요한 문제로 인식되고 있다. 본 논문에서는 이러한 문제를 해결하기 위해 인식률 저하 없이 탐색 공간을 효율적으로 줄이는 계층적 HMM 구조를 제안하였다. 지화는 손목의 방향성에 따라 총 3개의 범주로 설정, 입력 데이터는 이 범주 안에서 모델을 검색하게 된다. 이러한 사전 분류를 진행하여 비슷한 한글 지화의 분별력을 확립하게 되며 탐색 공간 또한 효율적으로 관리되므로 실시간 인식 시스템에 적용 가능하다. 실험 결과, 제안된 방법은 일반적인 HMM 인식 방법보다 평균 3배 정도의 시간을 단축할 수 있있고, 비슷한 한글 지화 제스쳐에 대해 오인식 또한 감소하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 심포지엄 논문집 정보 및 제어부문
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• pp.102-104
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• 2004

Finger language is a typical tool for deaf persons. But learning the finger language for non-handicapped persons is very difficult. To overcome these difficulties, a new communication method using visual function is developed recently. Even though the developed system uses the visual function, it needs expensive equipments such as camera and computer. To be used in the real environments, the cost of equipments is a critical factor. If the recognition system for the finger language can be developed with low price equipments, the system can be used in the notebook or cellular phone. The image captured by PC camera was processed by preprocessing algorithm. To recognize the finger language, the resulting image was divide into $5{\times}5$ sections. The recognition system uses a similarity method and position information. The simulation results shows the effectiveness of the proposed algorithm.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2005년도 추계 학술대회 발표논문집
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• pp.103-106
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• 2005

In this paper, we propose a language modeling approach to improve the performance of a large vocabulary continuous speech recognition system. The proposed approach is based on the active learning framework that helps to select a text corpus from a plenty amount of text data required for language modeling. The perplexity is used as a measure for the corpus selection in the active learning. From the recognition experiments on the task of continuous Korean speech, the speech recognition system employing the language model by the proposed language modeling approach reduces the word error rate by about 6.6 % with less computational complexity than that using a language model constructed with randomly selected texts.

• 한국생활과학회지
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• 제16권6호
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• pp.1083-1095
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• 2007

This study had been done to investigate that early childhood teacher's recognition and demand on children's language education and 20 early childhood teachers were interviewed individually who work at state-owned/ public-owned/ private-owned kindergardens residing G, I, and K cities in Jeollabuk-do. First, the purpose of language education was recognized on the formations of essence, concept, expertise, technique and attitude toward language. Second, the contents of language education must be selected by children's experience that they encounter in ordinary life based on oral language and written language. Besides, early childhood teachers strongly felt the necessity of new contents of language education, although they thought of insufficiency of their knowledge on the issue. Third, the method of language education was mainly accomplished by teaching material and objects. Besides, they were aware of looking for new organized teaching methods and also concerned of the importances of teacher's attitude and group formation method. Fourth, the evaluation of language education must be acquired by desirable evaluation method that was based on the recognition of children's unrealistic language capabilities, even though they had recognized the difficulty to do because of knowledge insufficiency. They also showed the tendency of negligence on the evaluation of language education. Fifth, the required facts for early childhood teachers on language education were development and supply of teaching materials, demand on teacher's education and appropriate evaluation method, and cognitive changes on language education by public toward the written language.

• 한국컴퓨터정보학회논문지
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• 제24권2호
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• pp.193-200
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• 2019

Hearing impaired people are living in a voice culture area, but due to the difficulty of communicating with normal people using sign language, many people experience discomfort in daily life and social life and various disadvantages unlike their desires. Therefore, in this paper, we study a sign language translation system for communication between a normal person and a hearing impaired person using sign language and implement a prototype system for this. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. In this paper, we use machine learning method of artificial neural network to recognize various sign language expressions of sign language users. By using generalized smart phone and various video equipment for sign language image recognition, we intend to improve the usability of sign language translation system.

• The Journal of the Acoustical Society of Korea
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• 제23권2E호
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• pp.51-55
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• 2004

In this paper, we propose a style-specific language model adaptation scheme using n-gram based tf*idf similarity for Korean spontaneous speech recognition. Korean spontaneous speech shows especially different style-specific characteristics such as filled pauses, word omission, and contraction, which are related to function words and depend on preceding or following words. To reflect these style-specific characteristics and overcome insufficient data for training language model, we estimate in-domain dependent n-gram model by relevance weighting of out-of-domain text data according to their n-. gram based tf*idf similarity, in which in-domain language model include disfluency model. Recognition results show that n-gram based tf*idf similarity weighting effectively reflects style difference.