• The KIPS Transactions:PartB
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• v.16B no.2
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• pp.141-150
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• 2009

This paper proposes a system that can automatically write singing voices to music notes. First, the system uses Stabilized Diffusion Equation(SIDE) to divide the song to a series of syllabic parts based on pitch detection. By the song segmentation, our method can recognize the sound length of each fragment through clustering based on genetic algorithm. Moreover, this study introduces a concept called 'Relative Interval' so as to recognize interval based on pitch of singer. And it also adopted measure extraction algorithm using pause data to implement the higher precision of song transcription. By the experiments using 16 nursery songs, it is shown that the measure recognition rate is 91.5% and DMOS score reaches 3.82. These findings demonstrate effectiveness of system performance.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.407-411
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• 2022

최근 COVID-19로 인해 대중의 의학 분야 관심이 증가하고 있다. 대부분의 의학문서는 전문용어인 의학용어로 구성되어 있어 대중이 이를 보고 이해하기에 어려움이 있다. 의학용어를 쉬운 뜻으로 풀이하는 모델을 이용한다면 대중이 의학 문서를 쉽게 이해할 수 있을 것이다. 이런 문제를 완화하기 위해서 본 논문에서는 Transformer 기반 번역 모델을 이용한 의학용어 탐지 및 해석 모델을 제안한다. 번역 모델에 적용하기 위해 병렬말뭉치가 필요하다. 본 논문에서는 다음과 같은 방법으로 병렬말뭉치를 구축한다: 1) 의학용어 사전을 구축한다. 2) 의학 드라마의 자막으로부터 의학용어를 찾아서 그 뜻풀이로 대체한다. 3) 원자막과 뜻풀이가 포함된 자막을 나란히 배열한다. 구축된 병렬말뭉치를 이용해서 Transformer 번역모델에 적용하여 전문용어를 찾아서 해석하는 모델을 구축한다. 각 문장은 음절 단위로 나뉘어 사전학습 된 KoCharELECTRA를 이용해서 임베딩한다. 제안된 모델은 약 69.3%의 어절단위 BLEU 점수를 보였다. 제안된 의학용어 해석기를 통해 대중이 의학문서를 좀 더 쉽게 접근할 수 있을 것이다.

• Sleep Medicine and Psychophysiology
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• v.11 no.2
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• pp.89-94
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• 2004

Objectives: In the past, latent dreams were emphasized in the psychiatric field, but these days the interest in manifest dreams is increasing as ego psychology develops. Hall and Nordby proposed that there are similarities between manifest dreams and real life. The Hall/Van de Castle System is a method of dream content analysis, which considers both the quantitive and qualitive analytic aspects of manifest dreams. Methods: The dreams of 232 males and females (M：F=127：105；mean age=21.02.7) were collected through the Most Recent Dream Method. Collected data were analyzed using the Hall/Van de Castle System. Results: Female subjects tended to be more detailed and meticulous in reporting their dreams. The dreams of male subjects showed a higher percentage in self-negativity (2=6.64, df=1, p=0.004), and the dreams of female subjects showed a higher percentage in group character (2=6.64, df=1, p=0.0099), dreamer-involved success (2=3.12, df=1, p=0.048), and good fortune (2=4.52, df=1, p=0.034). Conclusion: This study suggests the norm of dream content of Korean college students, and it presents the differences between Korean males and females, and between Korean college students and American college students. This study may contribute to further studies on dream content analysis.

• The Journal of the Acoustical Society of Korea
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• v.35 no.1
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• pp.63-73
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• 2016

It is widely acknowledged that the human auditory system is organized tonotopically and people generally listen to sounds as a function of frequency distribution through the auditory system. However, it is still unclear how acoustic features of speech sounds are indicated to the human brain in terms of speech perception. Thus, the purpose of this study is to investigate whether two sounds with similar high-frequency characteristics in the acoustic analysis show similar results at the level of auditory brainstem. Thirty three young adults with normal hearing participated in the study. As stimuli, two Korean monosyllables (i.e., /ja/ and /cha/) and four frequencies of toneburst (i.e., 500, 1000, 2000, and 4000 Hz) were used to elicit the auditory brainstem response (ABR). Measures of monosyllable and toneburst were highly replicable and the wave V of waveform was detectable in all subjects. In the results of Pearson correlation analysis, the /ja/ syllable had a high correlation with 4000 Hz of toneburst which means that its acoustic characteristics (i.e., 3671~5384 Hz) showed the same results in the brainstem. However, the /cha/ syllable had a high correlation with 1000 and 2000 Hz of toneburst although it has acoustical distribution of 3362~5412 Hz. We concluded that there was disagreement between acoustic features and physiology outcomes at the auditory brainstem level. This finding suggests that an acoustical-perceptual mapping study is needed to scrutinize human speech perception.

• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.173-183
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• 2003

Morphological analysis is the most widely used method for extracting nouns from Korean texts. For every Eojeol, in order to extract nouns from it, a morphological analyzer performs frequent dictionary lookup and applies many morphonological rules, therefore it requires many operations. Moreover, a morphological analyzer generates all the possible morphological interpretations (sequences of morphemes) of a given Eojeol, which may by unnecessary from the noun extraction`s point of view. To reduce unnecessary computation of morphological analysis from the noun extraction`s point of view, this paper proposes a method for Korean noun extraction considering noun occurrence characteristics. Noun patterns denote conditions on which nouns are included in an Eojeol or not, which are positive cues or negative cues, respectively. When using the exclusive information as the negative cues, it is possible to reduce the search space of morphological analysis by ignoring Eojeols not including nouns. Post-noun syllable sequences(PNSS) as the positive cues can simply extract nouns by checking the part of the Eojeol preceding the PNSS and can guess unknown nouns. In addition, morphonological information is used instead of many morphonological rules in order to recover the lexical form from its altered surface form. Experimental results show that the proposed method can speed up without losing accuracy compared with other systems based on morphological analysis.

• Phonetics and Speech Sciences
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• v.12 no.2
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• pp.39-49
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• 2020

The prosody of children with autism spectrum disorders (ASD) has several abnormal features, including monotonous speech. The purpose of this study was to compare acoustic features between an ASD group and a typically developing (TD) group and within the ASD group. The study also examined audience perceptions of the lengthening effect of increasing the number of syllables. 50 participants were divided into two groups (20 with ASD and 30 TD), and they were asked to imitate a total of 28 sentences. In the auditory-perceptual evaluation, seven participants chose sentence types in 115 sentences. Pitch, intensity, speech rate, and pitch slope were used to analyze the significant differences. In conclusion, the ASD group showed higher pitch and intensity and a lower overall speaking rate than the TD group. Moreover, there were significant differences in s2 slope of interrogative sentences. Finally, based on the auditory-perceptual evaluation, only 4.3% of interrogative sentences produced by participants with ASD were perceived as declarative sentences. The cause of this abnormal prosody has not been clearly identified; however, pragmatic ability and other characteristics of autism are related to ASD prosody. This study identified prosodic ASD patterns and suggested the need to develop treatments to improve prosody.

• Phonetics and Speech Sciences
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• v.14 no.3
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• pp.51-66
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• 2022

This study aims to help Korean English learners to learn English pronunciation by revealing which suprasegmentals affect the implementation of English sentences closer to native English speakers when they read English sentences. To this end, Korean middle school English learners were selected as subjects and research data were gathered through sentence types (declarative, interrogative, imperative, and exclamative), as well as syllables. Speech rate, pause frequency, pause duration, F0 range, and rhythm among suprasegmentals were used for analysis of these English sentence utterances. Mean analysis, correlation analysis, and regression analysis were performed. The results showed that speech rate, pause frequency, pause duration, and F0 range affected the evaluation of fluency levels. In the regression analysis between all suprasegmentals and fluency levels, the suprasegmentals that most affected fluency levels were speech rate and F0 range. Rhythm had no meaningful relation with fluency levels. Therefore, when teaching English pronunciation, it is necessary to teach students to increase their speech rate and F0 range. In addition, students should be trained to reduce both the number and the duration of pauses during utterance to improve their fluency. It is noteworthy that of the four sentence types, exclamative sentences were produced with faster speech rate, fewer pauses, shorter pause duration, and higher rhythm values.

• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.358-371
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• 2003

Automatic word spacing is a process of deciding correct boundaries between words in a sentence including spacing errors. It is very important to increase the readability and to communicate the accurate meaning of text to the reader. The previous statistical approaches for automatic word spacing do not consider the previous spacing state, and thus can not help estimating inaccurate probabilities. In this paper, we propose two statistical word spacing models which can solve the problem of the previous statistical approaches. The proposed models are based on the observation that the automatic word spacing is regarded as a classification problem such as the POS tagging. The models can consider broader context and estimate more accurate probabilities by generalizing hidden Markov models. We have experimented the proposed models under a wide range of experimental conditions in order to compare them with the current state of the art, and also provided detailed error analysis of our models. The experimental results show that the proposed models have a syllable-unit accuracy of 98.33% and Eojeol-unit precision of 93.06% by the evaluation method considering compound nouns.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.377-383
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• 2017

In this thesis, Improvisation of Jazz Vocal that can be characterized as Jazz music, namely practice of Scat suggest that way of applied approach that root position of chord and chord tones. Scat plays a solo using reproduced tunes of meaningless scat syllable that is not use the lyrics and melodies, which are written in a score. For this, Using the root position of chord is a reference point that Jazz vocal constructs a musical melody. Singing person can develop that reference point from simple scat to develop increasingly complex scat and can express that musical expression and communion. It analyzed the music functionally with a standard Jazz music 'All of me' as the center from composition of chord tone that improvise song to bass line, bass scat, analysis of chord tones arpeggio and expression. In this thesis, the improvisation of a Jazz vocal that may seem somewhat abstruse and complex could be relatively easy to construct through a gradual approach.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.93-96
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• 1999

감정을 표현하는 음성 합성 시스템을 구현하기 위해서 이전 논문에서는 음운 및 운율 요소(피치, 에너지, 지속시간, 스펙트럼 인벨로프)가 각 감정 음성에 미치는 영향에 대한 분석을 수행하였다. 본 논문에서는 네 가지 감정 표현(평상, 화남, 기쁨, 슬픔)을 나타내는 음성 데이터에 대해 음절 세그먼트와 라벨링을 행한 감정 음성 데이터베이스를 토대로 감정 표현에 많은 영향을 미치는 요소인 피치가 어떻게 변화하는지를 분석하였다. 통계적인 방법을 이용하여 감정별 피치를 정규화 하였으며, 감정 음성 데이터베이스 내의 문장별 피치 패턴에 대해 분석하였다. 그 결과 감정별 피치의 평균 ZScore는 화남이 가장 작았으며, 기쁨, 평상, 슬픔의 순으로 높았다. 또한 감정별 피치의 범위 변화는 슬픔이 가장 작았으며, 평상, 화남, 기쁨의 순으로 높았다. 문장별 피치의 패턴은 감정 표현에 따라 전체적으로 대부분 유사하게 나타났으며, 문장의 처음 부분은 화남의 경우 다른 감정에 비해 대체로 높게 변화하였고, 화남과 기쁨의 경우 문장의 뒷부분에서 다른 감정에 비해 피치가 상승하는 것을 볼 수 있었다.