• 제목/요약/키워드: Speech Pathology

검색결과 321건 처리시간 0.033초

한글 파닉스 교육을 위한 초등 1-2학년 교과서 어휘 자소분석 (Textbook vocabulary analysis for Korean phonics program of 1st and 2nd graders)

  • 이다은;김혜지;신가영;설아영;배소영;김미배
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2016년도 제28회 한글 및 한국어 정보처리 학술대회
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    • pp.226-230
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    • 2016
  • 본 연구는 초등 저학년 읽기부진아동을 위한 한글 파닉스 교육의 기반을 확립하고자 1-2학년 교과서 고빈도 어절 531개를 기반으로 자소 및 음운규칙을 분석하였다. 연구결과, 자소-음소 일치 어절을 기반으로 하였을 때 초성에서 50번 이상 나타난 자소는 /ㄱ/, /ㄹ/, /ㄴ/, /ㅅ/, /ㅎ/, /ㅈ/이다. 중성에서 50번 이상 나타난 자소는 /ㅏ/, /ㅣ/, /ㅗ/, /ㅡ/, /ㅜ/이다. 종성에서 50번 이상 나타난 자소는 /ㄹ/, /ㄴ/, /ㅇ/이다. 자소와 음소가 불일치 된 어절을 기반으로 하였을 때 가장 많이 출현하는 음운규칙은 연음화 규칙이었다. 본 연구결과를 바탕으로 교과서를 기반으로 한 한글 파닉스 교육에 유용하게 사용될 수 있을 것이다.

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Disfluencies and Speech Rates of Standard Korean Speakers in Story-telling and Reading Contexts

  • Shim, Hong-Im;Chon, Hee-Cheong;Ko, Do-Heung
    • 음성과학
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    • 제12권1호
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    • pp.45-51
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    • 2005
  • The purpose of this study is to compare disfluencies and speech rates (overall speech rate and articulation rate) of normal adult speakers who use the standard Korean according to dissimilar speech tasks (story-telling and text-reading). Participants were 100 Korean adult speakers. The results are summarized as follows: First, the most frequent type of disfluency in the story-telling task was 'interjection', whereas that in the text-reading task was 'revision'. Second, the overall speech rates (syllables per second and syllables per minute) showed significant differences depending on the speech tasks. Third, the articulation rates (syllables per second and syllables per minute) showed significant differences depending on the speech tasks.

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Clinical interventions and speech outcomes for individuals with submucous cleft palate

  • Jung, Seung Eun;Ha, Seunghee;Koh, Kyung S.;Oh, Tae Suk
    • Archives of Plastic Surgery
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    • 제47권6호
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    • pp.542-550
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    • 2020
  • Background This study aimed to identify the initial diagnostic characteristics and treatment status of children with submucous cleft palate (SMCP) and to examine the relationship between the timing of surgical correction and the degree of articulation and resonance improvement. Methods This retrospective study included 72 children diagnosed with SMCP between 2008 and 2016. The evaluation criteria were the age of the initial visit, total number of visits, age at the end of treatment, speech problems, resonance problems, and speech therapy. Results Children with SMCP first visited the hospital at an average age of 34.32 months, and speech problems were identified at an average age of 48.53 months. Out of 72 children, 46 underwent surgery at an average age of 49.74 months. Four of these children required secondary surgery at an average age of 83.5 months. Among the children who underwent surgery before 3 years of age, 70% exhibited articulation improvements, with mild-to-moderate hypernasality. Articulation improvements showed no statistically significant differences according to age at the time of surgery. However, children who underwent surgery before 4 years had a better hypernasality rating than those who underwent surgery after 4 years of age. Conclusions Children with SMCP tend to undergo delayed treatment because the anatomical symptoms in some children with SMCP are unclear, and surgical interventions are considered only after speech problems are clarified. Starting interventions as early as possible reduces the likelihood of receiving secondary surgery and speech therapy, while increasing expectations for positive speech function at the end.

다층 퍼셉트론 신경회로망을 이용한 후두 질환 음성 식별 (Detection of Laryngeal Pathology in Speech Using Multilayer Perceptron Neural Networks)

  • 강현민;김유신;김형순
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2002년도 11월 학술대회지
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    • pp.115-118
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    • 2002
  • Neural networks have been known to have great discriminative power in pattern classification problems. In this paper, the multilayer perceptron neural networks are employed to automatically detect laryngeal pathology in speech. Also new feature parameters are introduced which can reflect the periodicity of speech and its perturbation. These parameters and cepstral coefficients are used as input of the multilayer perceptron neural networks. According to the experiment using Korean disordered speech database, incorporation of new parameters with cepstral coefficients outperforms the case with only cepstral coefficients.

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State of the Art for Refractory Cough: Multidisciplinary Approach

  • Anne E. Vertigan
    • Tuberculosis and Respiratory Diseases
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    • 제86권4호
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    • pp.264-271
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    • 2023
  • Chronic cough is a common problem that can be refractory to medical treatment. Nonpharmaceutical management of chronic cough has an important role in well selected patients. This review article outlines the history of chronic cough management, current approaches to speech pathology management of the condition and new modalities of nonpharmaceutical treatment. There is a need for further research into nonpharmaceutical options with well described randomised control trials.

비대면 음성언어치료의 현황과 전망 (Current Status and Perspectives of Telepractice in Voice and Speech Therapy)

  • 이승진
    • 대한후두음성언어의학회지
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    • 제33권3호
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    • pp.130-141
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    • 2022
  • Voice and speech therapy can be performed in various ways depending on the situation, although it is generally performed in a face-to-face manner. Telepractice refers to the provision of specialized voice and speech therapy by speech-language pathologists for assessment, therapy, and counseling by applying telecommunication technology from a remote location. Recently, due to the pandemic situation and the active use of non-face-to-face platforms, interest in telepractice of voice and speech therapy has increased. Moreover, a growing body of literature has been advocating its clinical usefulness and non-inferiority to traditional face-to-face intervention. In this review, the existing discussions, guidelines, and preliminary studies on non-face-toface voice and speech therapy were summarized, and recommendations on the tools for telepractice were provided.

중국인과 한국인의 비성도 비교연구;모음을 중심으로 (The nasalance values for Chinese and Korean;Based on Vowels)

  • 황영진;김하경;정옥란
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2007년도 한국음성과학회 공동학술대회 발표논문집
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    • pp.138-142
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    • 2007
  • It was the purpose of this study to obtain nasalance values for Chinese and Korean based on Vowels. The NasalView was used to measure the amount of nasal acoustic energy in the speech of 96 normal adults from China and Korea. Means and standard deviations for the nasalance and deviation scores are presented for each of three different vowels. The Chinese speakers were found to have significantly higher nasalance scores on vowel /a/ and /u/.

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Low Frequency Perception of Rhythm and Intonation Speech Patterns by Normal Hearing Adults

  • Kim, Young-Sun;Asp, Carl-W.
    • 음성과학
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    • 제9권1호
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    • pp.7-16
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    • 2002
  • This study tested normal hearing adults' auditory perception of rhythm and intonation patterns, with low-frequency speech energy. The results showed that the narrow-band low-frequency zones of 125, 250, or 500 Hz provided the same important rhythm and intonation cues as did the wide-band condition. This suggested that an auditory training strategy that uses low-frequency filters would be effective for structuring or re-structuring the perception of rhythm and intonation patterns. These filters force the client to focus on these patterns, because the speech intelligibility is drastically reduced. This strategy can be used with both normal-hearing and hearing impaired children and adults with poor listening skills, and possibly poor speech intelligibility.

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Differentiation of Aphasic Patients from the Normal Control Via a Computational Analysis of Korean Utterances

  • Kim, HyangHee;Choi, Ji-Myoung;Kim, Hansaem;Baek, Ginju;Kim, Bo Seon;Seo, Sang Kyu
    • International Journal of Contents
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    • 제15권1호
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    • pp.39-51
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    • 2019
  • Spontaneous speech provides rich information defining the linguistic characteristics of individuals. As such, computational analysis of speech would enhance the efficiency involved in evaluating patients' speech. This study aims to provide a method to differentiate the persons with and without aphasia based on language usage. Ten aphasic patients and their counterpart normal controls participated, and they were all tasked to describe a set of given words. Their utterances were linguistically processed and compared to each other. Computational analyses from PCA (Principle Component Analysis) to machine learning were conducted to select the relevant linguistic features, and consequently to classify the two groups based on the features selected. It was found that functional words, not content words, were the main differentiator of the two groups. The most viable discriminators were demonstratives, function words, sentence final endings, and postpositions. The machine learning classification model was found to be quite accurate (90%), and to impressively be stable. This study is noteworthy as it is the first attempt that uses computational analysis to characterize the word usage patterns in Korean aphasic patients, thereby discriminating from the normal group.