• Proceedings of the KSPS conference
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• 2003.10a
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• pp.37-40
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• 2003

This paper presents the preliminary result of the automatic pronunciation scoring for non-native English speakers, and shows the developmental process for an English speech recognizer for the educational and evaluational purposes. The proposed speech recognizer, featuring two refined acoustic model sets, implements the noise-robust data compensation, phonetic alignment, highly reliable rejection, key-word and phrase detection, easy-to-use language modeling toolkit, etc., The developed speech recognizer achieves 0.725 as the average correlation between the human raters and the machine scores, based on the speech database YOUTH for training and K-SEC for test.

• Phonetics and Speech Sciences
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• v.6 no.4
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• pp.133-139
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• 2014

This paper describes several approaches to transform a speaker's individuality to another's individuality using frequency warping between bilingual formant frequencies on different language environments. The proposed methods are simple and intuitive voice conversion algorithms that do not use training data between different languages. The approaches find the warping function from source speaker's frequency to target speaker's frequency on formant space. The formant space comprises four representative monophthongs for each language. The warping functions can be represented by piecewise linear equations, inverse matrix. The used features are pure frequency components including magnitudes, phases, and line spectral frequencies (LSF). The experiments show that the LSF-based voice conversion methods give better performance than other methods.

• Speech Sciences
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• v.11 no.2
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• pp.217-226
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• 2004

An automatic pronunciation correction system provides users with correction guidelines for each pronunciation error. For this purpose, we develop a speech recognition system which automatically classifies pronunciation errors when Koreans speak a foreign language. In this paper, we propose a machine scoring method for automatic assessment of pronunciation quality by the speech recognizer. Scores obtained from an expert human listener are used as the reference to evaluate the different machine scores and to provide targets when training some of algorithms. We use a log-likelihood score and a normalized log-likelihood score as machine scoring methods. Experimental results show that the normalized log-likelihood score had higher correlation with human scores than that obtained using the log-likelihood score.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.508-514
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• 2007

In order to extract some important information of a person from text, an extracting model was proposed. The person's name is recognized based on the maximal entropy statistic model and the training corpus. The sentences surrounding the person's name are analyzed according to the conceptual knowledge base. The three main elements of events, domain, situation and background, are also extracted from the sentences to construct the structure of events about the person.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.16 no.2
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• pp.36-42
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• 2008

영어는 1947년부터 국제민간항공기구에 의해 국제 항공공통어로 사용되기 시작하였다. 그러나 원어민을 제외한 대부분 국가의 조종사와 항공교통관제사는 항공영어로 인한 어려움을 토로하고 있으며 항공기 사고의 많은 부분도 항공영어를 사용하는 communication 문제로 발생하고 있다. 이 점을 인식한 ICAO에서는 2008년부터 항공영어의 등급을 제도화하여 비영어권 국가의 항공종사자에 대한 영어능력의 향상을 도모하고 있다. 본 연구는 관제사를 대상으로 한 항공영어교육의 결과를 SPSS11을 이용하여 분석하였다. 분석결과 교육기간과 교육시간이 영어성적 결과에 유의미한 차이를 보이며, 항공영어의 평가요소 6가지가 상호 유의미한 영향을 미치는 것으로 분석되었다.

• Genomics & Informatics
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• v.16 no.3
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• pp.75-77
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• 2018

Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of information extraction requires syntactic, semantic, and higher levels of natural language processing. In this study, we publish our new corpus called GNI Corpus version 1.0, extracted and annotated from full texts of Genomics & Informatics, with NLTK (Natural Language ToolKit)-based text mining script. The preliminary version of the corpus could be used as a training and testing set of a system that serves a variety of functions for future biomedical text mining.

• Annual Conference on Human and Language Technology
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• 1992.10a
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• pp.193-199
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• 1992

이 논문에서는 123개 단어의 한국어 음성에 대하여 음성의 대역폭 변화에 따른 인식률을 비교하였다. 인식률 비교실험을 위해 hidden Markov model과 음소와 유사한 131개의 한국어 subword 유니트를 사용한 화자독립 격리단어 인식 시스팀을 사용하였다. 이 실험은 대역폭이 각각 0 - 4.5kHz 및 0.3 - 3.3kHz인 두가지 종류의 음성 데이타베이스를 사용하였다. 훈련과정에서 corrective training의 반복회수를 2로 하고 state transition duration 정보를 사용하였을 때, 0 - 4.5kHz 와 0.3 - 3.3kHz 대역폭에 대해 각각 98.8 % 및 98.2 % 의 최고 인식률을 얻었다. 이로부터 전화대역폭에서도 음성인식률은 크게 저하되지 않음을 알 수 있다.

• English Language & Literature Teaching
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• v.15 no.2
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• pp.245-259
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• 2009

The purpose of this study was to investigate English teachers' perceptions about doing their own action research to find out the benefits of involvement in action research. I believe that teachers should engage in curriculum research and development because it relates to their own classrooms and because a primary aim for teacher education program is to give teachers ways of exploring their own classrooms. I focused on 17 graduate students who had undertaken action research during the fall semester of 2007 and administered a questionnaire about their perceptions of doing action research. The results revealed that their perceptions of doing action research fell into the following two categories, positive and negative aspects. For positive aspects, they experienced a sense of personal and professional growth and they underwent identity transformation from passive, etic-oriented, and uncritical to active, emic-oriented, and critical teachers. However, many of them expressed that major obstacles to doing action research were time constraints and lack of skills or training in conducting action research. Thus, it is suggested that both pre- and in-service teachers should consider conducting a language teaching diary study, doing collaborative action research, and acquiring all the necessary skills for conducting action research.

• Speech Sciences
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• v.1
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• pp.27-38
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• 1997

The differences in French Intonation between French and Korean learners can be applied to French intonation education. One native French speaker and three native Korean speakers who learned French language at High school were selected for this study. The subjects spoke test phrases based on the different syntactic structures. High-Speed speech Analysis system(RILP) was used for this experiment. The different intonation curves were showed at the end of phrase and at the beginning of phrase between French and Korean learners. At the end of phrases, French intonation appeared to have increasing and decending pitch contours in the case of wh-question, exclamation and finality. However, Korean learner's intonation showed only increasing pitch contours. At the beginning of phrase, French intonation shows decending pitch contours in the case of minor continuation and command. In contrast, Korean learner's intonation appeared to have increasing pitch contours. The new intonation training system using PC can have great effect on education of French as a second language.

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.124-128
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• 2015

문맥의존 철자오류는 해당 단어만 봤을 때에는 오류가 아니지만 문맥상으로는 오류인 문제를 말한다. 이러한 문제를 해결하기 위해서는 문맥정보를 보아야 하지만, 형태소 분석 단계에서는 자세한 문맥 정보를 보기 어렵다. 본 논문에서는 형태소 분석 정보만을 이용한 철자오류 수정을 위한 문맥으로 사전훈련(pre-training)된 단어 표현(Word Embedding)를 사용하고, 기존의 기계학습 알고리즘보다 좋다고 알려진 딥 러닝(Deep Learning) 기술을 적용한 시스템을 제안한다. 실험결과, 기존의 기계학습 알고리즘인 Structural SVM보다 높은 F1-measure 91.61 ~ 98.05%의 성능을 보였다.