• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.25 no.2
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• pp.75-78
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• 2014

Functional dysphonia refers to a voice disturbance that occurs in the absence of structural or neurologic laryngeal pathological characteristics. Poorly regulated activity of the intrinsic and extrinsic laryngeal muscles is cited as the proximal cause of functional dysphonia (FD). Recently, the term functional dysphonia has been replaced in some clinical circles by diagnostic label muscle tension dysphonia (MTD), which serves to highlight excess, dysregulated, or imbalanced activity of the intrinsic and extrinsic laryngeal muscles as proximal cause of the observed dysphonia. And recent research evidence points to specific personality traits as important contributors to its development and maintenance. However, the origin of this dysregulated laryngeal muscle activity has not been fully elucidated. Further research is needed to better understand the pathogenesis of functional dysphonia, and factors contributing to its successful management.

• Proceedings of the KSLP Conference
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• 1998.11a
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• pp.197-197
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• 1998

변성발성장애는 변성기의 시기를 지났음에도 불구하고 적절한 음도저하를 습득하지 못함으로써 야기되는 음성장애의 한 가지로, 이런 환자들에 대해서는 제3형 갑상연골성형술을 통한 수술적 처치나 음성치료로 그 문제를 해결할 수 있다. 본 논문에서는 이중 음성치료적인 측면에 초점을 맞추어, 음성치료에 의한 변성발성장애 치료의 효율성에 대해 고찰해 보고자 한다. (중략)

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06c
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• pp.163-166
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• 1998

본 논문에서는 장애음성들의 분석을 위하여 기존의 파라미터들인 jitter, shimmer 및 NHR과 함께 음원의 추정에 의한 파라미터를 이용하여 장애음성의 음향적 특성분석을 위한 실험을 행하고 정상음성과 장애음성을 이들 파라미터에 의해 식별하고자 한다.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.647-650
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• 1999

본 논문에서는 음성신호처리 기법을 이용하여 장애음성을 진단, 개선하는 데 필요한 다양한 신호처리방법에 대하여 다루고자 한다. 음성장애중 성대장애를 중심으로 신호에 나타나는 현상과 이를 이용한 신호처리 방법들을 소개하며 응용사례로 음성을 이용한 성대질환의 진단에 관한 내용을 소개한다.

• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.149-154
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• 2018

As the range of professional voice users are expanding, interest towards voice increases as well. Especially as teachers compose the occupational group, exposed to high risk of voice disorder, it is necessary to identify the cause of speech problems and speech disorders. The purpose of this study is to analyze the voice characteristics of teachers and to investigate the causes of voice disorders. From 2000 to 2018, 414 studies were found under a combinated set search words of 'profession', 'Teacher', 'Professional Voice User', 'Voice', 'Voice disorders', 'Risk' and out of them, 8 studies were selected as final focus analysis subjects. The qualitative evaluation was carried out by modifying the Quality: checklist for assessing the Risk of bias. The study confirmed that voice misuse frequently occurred to teachers when they used their voice and this feature was affected by the environment. These results suggest that environment improvement of teachers' speech abuse and consistent voice education are necessary.

• Proceedings of the KSLP Conference
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• 2003.11a
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• pp.193-194
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• 2003

목젖은 신체의 아주 조그만 부분에 불과하나 음성 언어적인 측면에서는 아주 중요한 기능을 담당하고 있다. 임상적으로 목젖의 기능이 저하되어 언어에 장애가 나타날 비인강폐쇄부전이라 말하며 일반적으로 구개열 환자들에게서 발견되나 마비성조음장애 및 뇌 손상에 의한 언어 장애 등에서도 발견되어 언어 생활 속에서 언어 장애의 벽으로 나타난다. (중략)

• Proceedings of the KSLP Conference
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• 1999.11a
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• pp.179-179
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• 1999

배경 : 연축성발성장애는 특징적인 음성의 단절과 함께 짜는 듯한 특징적인 목소리를 보이는 질환으로 발생시기가 다양하지만 대개 중년의 여성과 남성에게 호발하는 만성질환이나 아직까지 그 원인과 병태생리는 규명되어 있지 않으며 이의 음성언어분석 검사에 관한 보고는 드물다. 목적 : 본 연구는 세브란스 병원 이비인후과에서 연축성발성장애로 진단받은 환자를 대상으로 음성 연어분석 검사를 시행한 후 이를 정상인군과 비교 분석하여 연축성 발성장애의 병태생리를 규명하고자 하였다. (중략)

• Journal of Broadcast Engineering
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• v.22 no.2
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• pp.253-256
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• 2017

This paper deals with the implementation of speech disorder detection system based on machine learning classification. Problems with speech are a common early symptom of a stroke or other brain injuries. Therefore, detection of speech disorder may lead to correction and fast medical treatment of strokes or cerebrovascular accidents. The speech disorder system can be implemented by extracting features from the input speech and classifying the features using machine learning algorithms. Ten machine learning algorithms with various scaling methods were used to discriminate speech disorder from normal speech. The detection system was evaluated by the TORGO database which contains dysarthric speech collected from speakers with either cerebral palsy or amyotrophic lateral sclerosis.

• Proceedings of the KSLP Conference
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• 2002.04a
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• pp.72-74
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• 2002

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.270-278
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• 2019

This study was performed to compare the aerodynamic characteristics of young and elderly adult male patients with voice disorders during continuous speech. Aerodynamic measurements were obtained after 12 young male patients and 9 elderly male patients read a paragraph. The elderly group showed longer duration, lower airflow rate and air volume than the younger group, but the differences were not significant except phonation time. So, when interpreting the meaning of aerodynamic measures of elderly voice disorder patients in the aspects of airflow and air volume, it should take into account various conditions(e. g. reading materials, pulmonary functions) as well as age.