• 말소리와 음성과학
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• 제11권1호
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• pp.51-61
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• 2019

본 연구는 음성장애환자를 위한 스마트폰기반 음성치료프로그램을 개발하고자 하였다. 국내 음성치료관련 모바일 콘텐츠분석, 전문가 및 사용자 수요조사를 통해 음성치료에 필요한 콘텐츠를 수집하였고, 프로그램은 안드로이드 스튜디오를 사용하여 개발하였다. 애플리케이션에 대한 사용자 만족도 평가는 기능적 음성장애인 5명을 대상으로 실시하였다. 연구결과 국내 음성치료관련 모바일 콘텐츠는 주로 호흡과 관련된 애플리케이션이 가장 많았으며 다음으로 음도와 노래 순으로 분포되었으나 실질적으로 음성치료를 위한 애플리케이션은 13개에 불과하였다. 전문가 및 사용자 수요조사 결과 환자와 치료사 모두 치료실 이외에 장소에서 음성훈련을 할 수 있는 콘텐츠에 대한 요구도가 높은 것으로 나타났다. 이러한 현황분석을 토대로 스마트폰기반 음성치료프로그램인 '홈 보이스 트레이너'를 개발하였다. 홈 보이스 트레이너는 안드로이드 스마트폰을 기반으로 한 음성치료 및 관리용 애플리케이션이다. 기존 오프라인에서 훈련한 음성치료활동을 가정에서도 훈련할 수 있도록 고안되었다. 또한 환자의 음성훈련 기록을 온라인으로 관리하여 음성치료 종결 후에도 지속적인 음성컨설팅을 통해 환자의 음성개선을 유지할 수 있도록 지원하였다. 사용자 평가 결과 환자는 홈 보이스 트레이너에서 제공하는 음성치료프로그램의 난이도, 내용은 만족하는 것으로 나타났으나 홈 버튼 및 화면 간 연계성에 대한 부분과 같은 유저인터페이스에 대한 부분이 미흡한 것으로 나타났다. 추후 연구에서는 음성장애 환자에게 홈 보이스 트레이너를 사용한 임상 적용연구가 필요하다고 생각된다. 또한 음성치료관련 스마트 콘텐츠에 대한 개발 연구와 임상적용에 대한 연구가 활발히 이루어지기를 기대한다.

• 대한음성언어의학회:학술대회논문집
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• 대한음성언어학회 2016년도 제44차 춘계학술대회
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• pp.32-33
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• 2016

• 대한음성언어의학회:학술대회논문집
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• 대한음성언어의학회 1998년도 제10회 학술대회 심포지움
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• pp.220-221
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• 1998

My experience in the treatment of vocal disorders among professional singers within the past year revealed the importance of vocal hygience for the maintenance of a better quality of voice. Therefore, the importance of vocal hygiene is discussed. (omitted)

• 대한후두음성언어의학회지
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• 제26권1호
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• pp.21-24
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• 2015

Voice therapy after post-thyroidectomy dysphonia is designed to improve glottal closure without supraglottic hyperfunction by development of abdominal support for breathing and intrinsic muscle strengthening exercises. Regarding voice therapy of unilateral vocal fold paresis/paralysis, several techniques such as head positioning, digital manipulation, pushing and pulling method are used for trial or temporary therapy. And the holistic voice therapy such as LSVT, Accent method, VFE are useful for hypofunctional voice disorders. These may be effective interventions as a temporary improvement until normal voice recovers or may provide the essentials for long-term rehabilitation.

• 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.

• 대한후두음성언어의학회지
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• 제26권2호
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• pp.91-93
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• 2015

Substantial confusion exists regarding the nomenclature of benign vocal fold lesions (BVFL), because there were no pathologically diagnostic findings and deep understanding of pathogenesis in the past. There is no consensus on specific labels for BVFL, nor are the most commonly used terms defined. There is a need for a defined nomenclature for the purpose of improving communication among clinicians and with patients. Furthermore, precise definitions of BVFL will facilitate clinical research of voice disorders and may lead to a better understanding of outcomes for BVFL treatment. Laryngoscope, stroboscope, voice evaluation are used to diagnose BVFL. The objective of this review article was to develop a new paradigm of BVFL nomenclature using patient's history, stroboscope, voice therapy results, and operative findings. Furthermore, precise definitions of BVFL will facilitate clinical research of voice disorders and may lead to a better understanding of outcomes for BVFL treatment.

• 말소리와 음성과학
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• 제3권3호
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• pp.149-155
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• 2011

The purpose of the present study was to identify the differences in GRBAS scales between vocal sample types (sustained vowels and connected speech) for specific laryngeal conditions (vocal nodules, vocal polyps and vocal paralysis) and the relations between GRBAS scale and Shimmer value in each vocal sample type. In this study, the total of 60 voice samples of 30 patients (10 vocal nodules, 10 vocal polyps, 10 vocal paralysis) were examined and MDVP (Multi-dimensional Voice Program) was used to analyze Shimmer value. Three listeners rated two types of samples which were sorted randomly based on GRBAS scale. Three-way ANOVA, one-way ANOVA and paired t-test were used. The outcome of this study was as follow. 1) GRBAS scales varied in vocal sample types. Listeners tended to assess voices as better quality when they listened connected speech rather than sustained vowels. 2) G score of GRBAS and Shimmer were positively correlated with statistical significance. This results show that 1) vocal specialists should consider the sample types in evaluating the severity of voice problem and 2) G score could be a simple and clear method.

• 대한약침학회지
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• 제17권3호
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• pp.57-61
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• 2014

Objectives: When a person speaks, voice problems usually include pain or discomfort and/or difficulties in terms of the pitch, the loudness and the quality of the voice. When patients with voice problems induced by stroke, Parkinson's disease, and systemic diseases involving the voice are examined, generally, of the Four Diagnoses (四診), a Diagnosis of Hearing can be used in current Korean medicine. The effects of acupuncture and herb medicine on voice problems have been reported for over 20 years. However, when it comes to improvements, objective and subjective evaluation methods need to be explained. Methods: Subjective methods for evaluating voice were studied through a literature search of old medicinal books containing Korean medicine diagnostics, and an objective evaluation method using Praat software is presented. Results: Korean medicine doctors analyze the patient's voice in clinical settings unconsciously on a daily basis. However, most voice diagnoses depend on the doctor's subjective evaluation. Voice qualities can be evaluated by using the Eight Principles (八綱), including Yin-Yang; the Five Elements (Phases); the Grade, Roughness, Breathy, Asthenic, Strained (GRBAS) score, and the Visual Analogue Scale (VAS) as subjective methods, and an acoustic analysis using the Praat program can be used as an objective method. Conclusion: A more complete voice examination can be achieved by using subjective and objective methods at the same time. For an objective explanation and management of patient's voice problems or systemic disorders, an objective method should be used in Korean medicine, which already has many subjective diagnostic methods. More research needs to be conducted, and more clinical evidence needs to be collected in the future.

• 대한후두음성언어의학회지
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• 제32권1호
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• pp.43-47
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• 2021

Voice therapy is effective in many voice and speech disorders. However, patients have low accessibility to therapeutic facilities due to disease-unrelated reasons such as lack of time and pandemic of COVID-19. Contactless voice therapy could be an alternative and may helpful to all patients with voice and speech problems. We developed contactless voice and speech therapy program on the necessity of improving accessibility. Herein, we report the first case of voice therapy to 30 year-old female patient who complained voice change after total thyroidectomy using contactless voice and speech therapy service platform in Korea.

• 대한치매학회지
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• 제23권1호
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• pp.1-10
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• 2024

Background and Purpose: Voice, reflecting cerebral functions, holds potential for analyzing and understanding brain function, especially in the context of cognitive impairment (CI) and Alzheimer's disease (AD). This study used voice data to distinguish between normal cognition and CI or Alzheimer's disease dementia (ADD). Methods: This study enrolled 3 groups of subjects: 1) 52 subjects with subjective cognitive decline; 2) 110 subjects with mild CI; and 3) 59 subjects with ADD. Voice features were extracted using Mel-frequency cepstral coefficients and Chroma. Results: A deep neural network (DNN) model showed promising performance, with an accuracy of roughly 81% in 10 trials in predicting ADD, which increased to an average value of about 82.0%±1.6% when evaluated against unseen test dataset. Conclusions: Although results did not demonstrate the level of accuracy necessary for a definitive clinical tool, they provided a compelling proof-of-concept for the potential use of voice data in cognitive status assessment. DNN algorithms using voice offer a promising approach to early detection of AD. They could improve the accuracy and accessibility of diagnosis, ultimately leading to better outcomes for patients.