• 한국산학기술학회논문지
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• 제10권10호
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• pp.2893-2899
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• 2009

본 연구는 쇼핑호스트의 스피치스타일을 분류해내고, 분류된 스피치스타일이 쇼핑호스트의 평가와 구매의도에 미치는 영향관계를 파악하고자 하였다. 쇼핑호스트의 스피치스타일이 쇼핑 호스트 평가에 미치는 영향에서 설파형의 고객지향성, 신뢰성, 적격성과 서술형의 적격성을 제외한 다른 스피치스타일은 영향을 미치는 것으로 분석되었다. 특히 가설에서 검증된 스피치스타일과 쇼핑 호스트 평가의 영향관계를 살펴보면 논증형, 표출형, 서술형 순으로 영향력이 나타나고 있다. 쇼핑호스트의 스피치스타일이 구매의도에 미치는 영향에서는 설파형, 서술형을 제외하고 논증형, 표출형에 영향을 미치는 것으로 분석되었다. 즉, 서술적이면서 주도적인 스피치스타일 보다 논리적으로 설득하면서 주어진 내용을 잘 표현하는 스피치스타일을 선호하고 있는 것으로 나타났다.

• 영어어문교육
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• 제12권2호
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• pp.87-105
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• 2006

Style is considered a pivotal construct in sociolinguistic variation studies. While previous studies have examined style in traditional forms of language such as speech, very little research has examined new and emerging styles such as computer-mediated discourse. Thus, the present study attempts to investigate style in the online communication mode of chat. In so doing, the study compares text-based online chat with speech and writing. Online chat has been previously described as a hybrid form of language that is close to speech. Here, the exact nature of online chat is elucidated by focusing on contraction use. Differential acquisition of stylistic variation is also examined according to English learning background. The empirical component consists of data from Korean speakers of English. Data is taken from a written summary, an oral interview, and a text-based online chat session. A multivariate analysis was conducted. Results indicate that online chat is indeed a hybrid form that is difficult to delineate from speech and writing. Text-based online chat shows a somewhat similar rate of contraction to speech, which confirms its hybridity.. Lastly, some implications of the study are given in terms of the learning and acquisition of style in general and in online contextual modes.

• 한국음향학회지
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• 제38권5호
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• pp.614-620
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• 2019

본 논문은 전역 스타일 토큰(Global Style Token, GST)을 사용하는 종단 간(end-to-end) 감정 음성 합성 시스템의 성능을 높이기 위해 각 감정의 스타일 벡터를 효과적으로 결정하는 방법을 제안한다. 기존 방법은 각 감정을 표현하기 위해 한 개의 대푯값만을 사용하므로 감정 표현의 풍부함 측면에서 크게 제한된다. 이를 해결하기 위해 본 논문에서는 k-평균 알고리즘을 사용하여 다수의 대표 스타일을 추출하는 방법을 제안한다. 청취 평가를 통해 제안 방법을 이용해 추출한 각 감정의 대표 스타일이 기존 방법에 비해 감정 표현 정도가 뛰어나며, 감정 간의 차이를 명확히 구별할 수 있음을 보였다.

• 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.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2003년도 5월 학술대회지
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• pp.83-86
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• 2003

This paper presents our style-based language model adaptation for Korean conversational speech recognition. Korean conversational speech is observed various characteristics of content and style such as filled pauses, word omission, and contraction as compared with the written text corpora. For style-based language model adaptation, we report two approaches. Our approaches focus on improving the estimation of domain-dependent n-gram models by relevance weighting out-of-domain text data, where style is represented by n-gram based tf*idf similarity. In addition to relevance weighting, we use disfluencies as predictor to the neighboring words. The best result reduces 6.5％ word error rate absolutely and shows that n-gram based relevance weighting reflects style difference greatly and disfluencies are good predictor.

• ETRI Journal
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• 제28권6호
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• pp.807-810
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• 2006

This letter presents a prediction model for sentence-final intonations for Korean conversational-style text-to-speech systems in which we introduce the linguistic feature of 'modality' as a new parameter. Based on their function and meaning, we classify tonal forms in speech data into tone types meaningful for speech synthesis and use the result of this classification to build our prediction model using a tree structured classification algorithm. In order to show that modality is more effective for the prediction model than features such as sentence type or speech act, an experiment is performed on a test set of 970 utterances with a training set of 3,883 utterances. The results show that modality makes a higher contribution to the determination of sentence-final intonation than sentence type or speech act, and that prediction accuracy improves up to 25% when the feature of modality is introduced.

• 음성과학
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• 제13권4호
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• pp.107-126
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• 2006

The aim of this study is to analyze the tonal structures of Korean conjunctive phrases produced by Daegu dialect speakers and show that there are distinctive intonational patterns between dialogic and reading styles. In the experiment, we examined the pitch contour at the edge of conjunctive phrases including '-ko', $'-(i)my{\partial}n'$, $'-(a){\partial}s{\partial}'$, '-(nin)de', '-do' in the base which is made a coordinate and subordinate conjunctive sentence according to the relation of pre-phrase and post-phrase. The results of this study show that '-ko' has L%, $'-(i)my{\partial}n'$ has LH%, $'-(a){\partial}s{\partial}'$ has HL% and '-(nin)de' has LH%, '-do' has LH% in Daegu Dialect. And the results show the conjunctive sentences were about 20% longer when they produced in a dialogic style than in a reading style. The dialogic style has various durations, the duration of the reading style is slower than the dialogic style by a rate of 20%. This suggests that the dialogic style is more dynamic than the reading style, which may be due to the communicative interaction between speakers and listeners.

• 말소리와 음성과학
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• 제13권3호
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• pp.65-70
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• 2021

This paper proposes a method for designing a large recording script for open domain English speech synthesis. For read-aloud style text, 12 domains and 294 sub-domains were designed using text contained in five different news media publications. For conversational style text, 4 domains and 36 sub-domains were designed using movie subtitles. The final script consists of 43,013 sentences, 27,085 read-aloud style sentences, and 15,928 conversational style sentences, consisting of 549,683 tokens and 38,356 types. The completed script is analyzed using four criteria: word coverage (type coverage and token coverage), high-frequency vocabulary coverage, phonetic coverage (diphone coverage and triphone coverage), and readability. The type coverage of our script reaches 36.86% despite its low token coverage of 2.97%. The high-frequency vocabulary coverage of the script is 73.82%, and the diphone coverage and triphone coverage of the whole script is 86.70% and 38.92%, respectively. The average readability of whole sentences is 9.03. The results of analysis show that the proposed method is effective in producing a large recording script for English speech synthesis, demonstrating good coverage in terms of unique words, high-frequency vocabulary, phonetic units, and readability.

• 대한음성학회지:말소리
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• 제46호
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• pp.117-126
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• 2003

This paper presents our language model adaptation for Korean spontaneous speech recognition. Korean spontaneous speech is observed various characteristics of content and style such as filled pauses, word omission, and contraction as compared with the written text corpus. Our approaches focus on improving the estimation of domain-dependent n-gram models by relevance weighting out-of-domain text data, where style is represented by n-gram based tf/sup */idf similarity. In addition to relevance weighting, we use disfluencies as Predictor to the neighboring words. The best result reduces 9.7% word error rate relatively and shows that n-gram based relevance weighting reflects style difference greatly and disfluencies are good predictor also.

• 말소리와 음성과학
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• 제8권3호
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• pp.51-59
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• 2016

The purpose of present study is to examine differences between habitual speech (HS) and clear speech (CS) in individuals with mild dysarthria. Twelve speakers with mild dysarthria and twelve healthy control speakers read sentences in two speaking styles. Formant and intensity related values, triangular area, and center of gravity of /a/, /i/, and /u/ were measured. In addition, formant-ratio variables such as vowel space area(VSA), vowel articulatory index (VAI), formant centralization ratio (FCR) and F2i/F1u ratio (F2 ratio) were calculated. The results of repeated-measures ANOVA showed a significant difference in F2 of vowel /i/ and F2 energy of vowel /a/ between groups. Regarding formant energy, F2 energy of vowel /a/ were observed as meaningful variables between speaking styles. There were significant speaking style-by-group interactions for F2 energy of vowel /a/. These findings indicated that current parameters could discriminate healthy group and mild dysarthria group meaningfully and that speaker with dysarthria had larger clear speech benefit than healthy talkers. We also claim that various acoustic changes of clear speech may contribute to improving vowel intelligibility.