• Title/Summary/Keyword: 운율적 요소

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한국어의 운율구조와 통사-의미구조와의 관계

  • Lee, Ho-Yeong
    • Annual Conference on Human and Language Technology
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    • 1990.11a
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    • pp.57-64
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    • 1990
  • 문장을 이루는 문장 구성성분 사이에는 다른 정도의 운율적 친밀성 (운율적 구성성분관계)와 상대적이며 계층적인 운율적 강도관계가 존재하며, 이를 바탕으로 문장의 운율구조를 세울 수 있으며, 운율구조는 나무그림으로 나타내는 것이 가장 효과적이다. 운율구조는 대응하는 통사구조가 보여주는 통사적 구성성분 관계 (constituency)와 계층적 지배관계와 대부분 일치하지 않지만, 문장의 운율구조는 먼저 구단위로 운율구조를 부과하고, 그 다음 단계에서 각 구들의 운율구조를 연결하여 완성해야 하며, 통사구조가 같은 구(phrase)도 구성요소들 사이에 존재하는 의미구조의 차이에 의해서 다른 운율구조를 가질 수도 있다. 그리고 문장의 일부만이 초점을 받으면, 초점받은 부분이 가장 강한 운율강도를 갖게되어 전체초점을 받을 때의 운율적 구성성분 관계와 계층적인 운율적 강도관계가 변할 수 있다.

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Minimization of Prediction System of Prosodic Phrase Boundaries (경량화 운율구 경계 예측 시스템 개발)

  • Kim, Minho;Jung, Youngim;Kwon, Hyuk-Chul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.744-747
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    • 2010
  • 운율구 경계 예측은 TTS(Text-To-Speech) 엔진이 정확하고 자연스러운 음성합성을 하기 위해 꼭 필요한 기술이다. 하지만, 소프트웨어나 하드웨어적 자원을 많이 요구하는 기술이기 때문에 실행 환경의 제약을 많이 받는다. 본 논문에서는 소형 전자제품과 같이 제한된 환경에서도 안정적으로 실현되는 경량화 운율구 경계 예측 시스템의 개발 과정과 결과에 대하여 설명한다. 운율구 경계 예측 시스템의 필수 요소인 형태소 분석기의 경량화와 전통적인 규칙 기반 운율구 경계 예측 기술과 달리 품사 분석과 구문 분석이 필요하지 않은 운율구 경계 예측 기술을 소개한다.

일본어화자의 한국어 학습에 나타나는 발음상의 제문제 -- phonemic unit와 prosody, 특히 pitch에 대하여 --

  • 노마 히데키
    • Proceedings of the KSPS conference
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    • 1996.10a
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    • pp.268-273
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    • 1996
  • 본고는 일본어화자의 한국어 학습에 나타나는 발음상의 제문제를 논한다. 문제점은 초급, 중급의 단계별로 고찰할 필요가 있고 또한 학습자의 이론적인 인식상의 문제와 학습자의 실제 발음 실천상의 문제를 구별해서 검토할 필요가 있다. 본고에서는 모음, 자음, 음운변화 및 표기상에 나타나지 않는 발음의 문제 등, 음운단위에 관한 요소, 그리고 높낮이(pitch)와 억양(intonation) 등, 운율적인 요소를 다루었다. 서울말의 높낮이에 대한 기술도 시도하였다.

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음성합성을 위한 분절음 길이예측 모델링

  • 정현성
    • Proceedings of the KSLP Conference
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    • 2003.11a
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    • pp.236-236
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    • 2003
  • 음성합성을 위한 운율연구는 실험음성학과 음성공학 분야에서 활발히 이루어져 왔고, 가시적인 성과도 거두어 왔다. 최근 운율의 자연성을 향상시키기 위한 노력은 corpus-based unit selection에서와 같이, 대단위 음성자료에 의존하게 되면서 급격한 자연성의 향상을 가져온 것이 사실이지만, 여전히 새로 주어진 자료에 대해서 부자연스러운 운율을 극복해야 한다는 과제를 안고 있다. 이 논문은 길이, 억양, 에너지 등의 운율요소 가운데, 우선적으로 분절음의 길이에 초점을 두고, 대규모 음성자료를 바탕으로 한 자료기반형 길이예측모델을 지양하고 언어학적 지식과 언어자질을 이용한 지식기반형 길이예측모델을 제시하고자 한다. 모델링을 위한 방법으로는, 기본적으로 자료기반형 모델링 기법이지만 언어자질을 이용한 길이예측이 가능한 Classification and Regression Tree (CART) 모델링과 전통적인 지식기반형 모델링인 sequential rule systems을 확대시킨 Sums-of-Products 모델링을 사용한다. (중략)

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Korean prosodic properties between read and spontaneous speech (한국어 낭독과 자유 발화의 운율적 특성)

  • Yu, Seungmi;Rhee, Seok-Chae
    • Phonetics and Speech Sciences
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    • v.14 no.2
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    • pp.39-54
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    • 2022
  • This study aims to clarify the prosodic differences in speech types by examining the Korean read speech and spontaneous speech in the Korean part of the L2 Korean Speech Corpus (speech corpus for Korean as a foreign language). To this end, the articulation length, articulation speed, pause length and frequency, and the average fundamental frequency values of sentences were set as variables and analyzed via statistical methodologies (t-test, correlation analysis, and regression analysis). The results found that read speech and spontaneous speech were structurally different in the form of prosodic phrases constituting each sentence and that the prosodic elements differentiating each speech type were articulation length, pause length, and pause frequency. The statistical results show that the correlation between articulation speed and articulation length was highest in read speech, explaining that the longer a given sentence is, the faster the speaker speaks. In spontaneous speech, however, the relationship between the articulation length and the pause frequency in a sentence was high. Overall, spontaneous speech produces more pauses because short intonation phrases are continuously built to make a sentence, and as a result, the sentence gets lengthened.

A Study on Rhythm Information Visualization Using Syllable of Digital Text (디지털 텍스트의 음절을 이용한 운율 정보 시각화에 관한 연구)

  • Park, seon-hee;Lee, jae-joong;Park, jin-wan
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.120-126
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    • 2009
  • As the information age grows rapidly, the amount of digital texts has been increasing as well. It has brought an increasing of visualization case in order to figure out lots of digital texts. Existing visualized design of digital text is merely concentrating on figuration of subject word through adoption of stemming algorithm and word frequency extraction, prominence of meaning of text, and connection in between sentences. So it is a fact that expression of rhythm that can visualize sentimental feeing of digital text was insufficient. Syllable is a phoneme unit that can express rhythm more efficiently. In sentences, syllable is a most basic pronunciation unit in pronouncing word, phase and sentence. On this basis, accent, intonation, length of rhythm factor and others are based on syllable. Sonority, which is most closely associated with definitions of syllable, is expressed through air flow of igniting lung and acoustic energy that is specified kinetic energy into sonority. Seen from this perspective, this study examines phonologic definition and characteristics based on syllable, which is properties of digital text, and research the way to visualize rhythm through diagram. After converting digital text into phonetic symbol by the experiment, rhythm information are visualized into images using degree of resonance, which was started from rhythm in all languages, and using syllable establishment of digital text. By visualizing syllable information, it provides syllable information of digital text and express sentiment of digital text through diagram to assist user's understanding by systematic formula. Therefore, this study is aimed at planning for easy understanding of text's rhythm and realizing visualization of digital text.

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A study of the prosodic patterns of autism and normal children in the imitating declarative and interrogative sentences (따라말하기 과제를 통한 자폐범주성 장애 아동과 일반 아동의 평서문과 의문문의 음향학적 특성 비교)

  • Lee, Jinhyung;Seong, Cheoljae
    • 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.

An Analysis on the Emotional Speech for the Speech Synthesis System with Emotion (감정표현 음성합성 시스템을 위한 감정 분석)

  • 천희진
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1998.08a
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    • pp.350-355
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    • 1998
  • 감정을 표현하는 음성 합성 시스템을 구현하기 위해서는 감정음성에 대한 분석이 필요하다. 본 논문에선,s 평상, 화남, 기쁨, 슬픔의 네 가지 감정에 대한 음성 데이터에 대해 음절 세그먼트, 라벨링을 행한 감정 음성 데이터베이스를 구축하였고, 감정표현이 음성에 영향을 미치는 요인에대하여, 운율, 음운적인 요소로 나누어 분석하였다. 또한 기본 주파수, 에너지, 음절지속시간에 대한 분석과 감정 음성의기본 주파수, 에너지, 음절지속시간, 스펙트럼 포락의 인지 정도를 측정하기 위하여 평상 음성에 감정 음성의 운율 요소를 적용하는 음성을 합성하여 ABX 방법으로 평가하였다. 그 결과, 기본 주파수의변화가 73.3%, 음절지속시간은 43.3% 로 올바른 감정으로 인지되었으며, 특히 슬픈 감정에서 음절지속시간은 76.6%가 올바르게 감정을 나타내는 것으로 인지되었다.

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An analysis of emotional English utterances using the prosodic distance between emotional and neutral utterances (영어 감정발화와 중립발화 간의 운율거리를 이용한 감정발화 분석)

  • Yi, So-Pae
    • Phonetics and Speech Sciences
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    • v.12 no.3
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    • pp.25-32
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    • 2020
  • An analysis of emotional English utterances with 7 emotions (calm, happy, sad, angry, fearful, disgust, surprised) was conducted using the measurement of prosodic distance between 672 emotional and 48 neutral utterances. Applying the technique proposed in the automatic evaluation model of English pronunciation to the present study on emotional utterances, Euclidean distance measurement of 3 prosodic elements such as F0, intensity and duration extracted from emotional and neutral utterances was utilized. This paper, furthermore, extended the analytical methods to include Euclidean distance normalization, z-score and z-score normalization resulting in 4 groups of measurement schemes (sqrF0, sqrINT, sqrDUR; norsqrF0, norsqrINT, norsqrDUR; sqrzF0, sqrzINT, sqrzDUR; norsqrzF0, norsqrzINT, norsqrzDUR). All of the results from perceptual analysis and acoustical analysis of emotional utteances consistently indicated the greater effectiveness of norsqrF0, norsqrINT and norsqrDUR, among 4 groups of measurement schemes, which normalized the Euclidean measurement. The greatest acoustical change of prosodic information influenced by emotion was shown in the values of F0 followed by duration and intensity in descending order according to the effect size based on the estimation of distance between emotional utterances and neutral counterparts. Tukey Post Hoc test revealed 4 homogeneous subsets (calm

Characteristics of Right Hemispheric Damaged Patients in Korean Focused Prosodic Sentences (한국어 초점 발화 시 우반구 손상인의 초점 운율 특성)

  • Lee, Myung Soon;Park, Hyun
    • Therapeutic Science for Rehabilitation
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    • v.8 no.3
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    • pp.69-81
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    • 2019
  • Objective: The purpose of this study was to examine the characteristics of prosody of ambiguous sentences in patients with right hemisphere damage(RHD). Methods: Sentences with each word prosodically focused were used to investigate. Several acoustic parameters such as intensity, F0, and duration were measured to identify characteristics of prosody in patients with lesions in the right hemisphere and normal controls. All speech samples were recorded using the Praat 4.3.14 software. Data were analyzed with the independent sample t-test using SPSS 18.0. Results: The results of this study are as follows: First, intensity of the first syllable of the focus word was different between the two groups in several sentences. Second, F0 was different between the two groups in all sentences. Third, duration was different between the groups in several sentences. Accordingly, prosody were varied and values of acoustic parameters differed due to the focus of utterance. The group with right hemisphere damage showed restricted prosody. Conclusions: Intensity, duration, and F0 are all used as elements of prosody in emphasizing structural and pragmatic meaning, but according to the focus, strength and duration were related to F0. In contrast, F0 has a significant linguistic difference, but there was a significant difference between the RHD and normal people, so F0 can be a discriminatory factor of rhyme evaluation of the right hemisphere damaged and it is necessary to accumulate more strong evidence through future research.