• 음성과학
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• 제15권3호
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• pp.183-201
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• 2008

This study attempted to reveal the physiologic etiology or related factors associated with speech processing by comparing the compensation ability in speech motor control in children with and without articulation disorders. Subjects were 35 children with articulation disorder and 35 children without articulation disorder whose age ranged from 5 to 6 years. They were asked to rapidly repeat /$p^ha$/, /$t^ha$/, /$k^ha$/, /$p^hat^hak^ha$/ diadochokinetic movement while mandible was free and mandible was stabilized with bite block. The results showed that children with articulation disorder revealed significantly greater difference in elapsed time for diadochokinetic movement between mandible free and stabilized state compared to the without articulation disorder group. But the correlation between the percentage of consonants correct and the compensation ability in speech motor control in the articulation disorder group was irrelevant. These results point out to the fact that children with articulation disorder have poor compensation ability in speech motor control compared to the children without articulation disorder. On the other hand, the poor ability does not have any relation with the severity of articulation disorder. These results suggest either general or individual characteristics of children with articulation disorder.

• 방송공학회논문지
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• 제22권2호
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• pp.253-256
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• 2017

본 논문에서는 기계학습 기반의 분류 방법을 이용하여 장애 음성을 검출하고자 한다. 음성 장애 중 마비말 장애는 뇌성마비, 파킨슨 질환, 뇌졸중 등 주로 뇌질환에 의해 발생하는 것으로 알려져 있다. 이러한 장애 음성을 검출함으로써 뇌졸중 등의 급성 뇌질환 발생에 대한 조기 처치가 가능하다. 장애 음성 검출은 입력 음성에 대한 특징벡터 추출과 기계학습을 이용한 분류과정을 통해 이루어질 수 있다. 실험을 위해서 장애 음성 DB인 TORGO 데이터를 사용하였으며, 10가지 기계학습 알고리즘과 다양한 특징벡터 스케일링 방법에 대해 장애 음성 검출 성능을 평가하였다.

• 대한한방내과학회지
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• 제25권3호
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• pp.662-668
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• 2004

Cerebrovascular accident(CVA) is a leading cause of death, and severe sequelae, like motor disturbance, mental disorder, dysphagia, recognition disorder, speech disorder(aphasia) often occur. Most of medical cure about CVA sequelae lay emphasis on motor disturbance, so speech disorder(aphasia) has been neglected. But speech disorder therapy is essential for social rehabiltation. Recently, inside and outside South Korea, various clinical approaches and potential medical cures for speech disorder (aphasia) have been researched. In Korean Medicine, papers pertaining to speech disorders have been but a few. In this study two cases of aphasic stroke patients who were treated for speech and language disorders through Korean medical therapy are reported.

• 말소리와 음성과학
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• 제15권2호
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• pp.53-59
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• 2023

Detection of children with autism spectrum disorder (ASD) based on speech has relied on predefined feature sets due to their ease of use and the capabilities of speech analysis. However, clinical impressions may not be adequately captured due to the broad range and the large number of features included. This paper demonstrates that the knowledge-driven speech features (KDSFs) specifically tailored to the speech traits of ASD are more effective and efficient for detecting speech of ASD children from that of children with typical development (TD) than a predefined feature set, extended Geneva Minimalistic Acoustic Standard Parameter Set (eGeMAPS). The KDSFs encompass various speech characteristics related to frequency, voice quality, speech rate, and spectral features, that have been identified as corresponding to certain of their distinctive attributes of them. The speech dataset used for the experiments consists of 63 ASD children and 9 TD children. To alleviate the imbalance in the number of training utterances, a data augmentation technique was applied to TD children's utterances. The support vector machine (SVM) classifier trained with the KDSFs achieved an accuracy of 91.25%, surpassing the 88.08% obtained using the predefined set. This result underscores the importance of incorporating domain knowledge in the development of speech technologies for individuals with disorders.

• 대한구순구개열학회지
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• 제11권1호
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• pp.1-12
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• 2008

In cleft palate patient, characteristic of speech disorder is the resonance disorder result from velopharyngeal incompetence. Clinically VPI caused by congenital factor as congenital palatal incompetence, submucosal cleft palate, and caused by acquired factor as CNS damage, tumor, palatal palsy. The clinicians more concerned about the speech disorders after cleft palate surgery rather than language pathologist. The resonance disorder devided for hypernasality, hyponasality and nasal emission, but as a rule, hypernasality is typical phenomenon of the resonance disorder. Traditionally clinicians and language pathologists evaluated four-stage or five-stage of hypernasality by subjective assessment. Although language pathologist is well-trained, results of the language level should be different. In late 1980s, Kay Elemetrics Corp. developed nasometer that objective nasalance identified with well-trained language pathologist and originate from nasometer Tonar I and II were developed by Fletcher. Therefore objective nasalance test was possible, the nasometer used in hospital, collage and speech clinic both and home and abroad. Standardization of the cleft palate speech assessment must be settled without delay because of different character result in different language and different assessment results by dialect in same language. In our study, we provide the data base for the standardization of cleft palate speech assessment which through report of objective assessment method, speech therapy effects and problems result in interdisciplinary teamwork by nasometer use in treatment of cleft palate patient.

• 음성과학
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• 제13권3호
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• pp.7-18
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• 2006

Diagnosis of pathological voice is one of the important issues in biomedical applications of speech technology. This study focuses on the discrimination of voice disorder using HMM (Hidden Markov Model) for automatic detection between normal voice and vocal fold disorder voice. This is a non-intrusive, non-expensive and fully automated method using only a speech sample of the subject. Speech data from normal people and patients were collected. Mel-frequency filter cepstral coefficients (MFCCs) were modeled by HMM classifier. Different states (3 states, 5 states and 7 states), 3 mixtures and left to right HMMs were formed. This method gives an accuracy of 93.8% for train data and 91.7% for test data in the discrimination of normal and vocal fold disorder voice for sustained /a/.

• 대한의용생체공학회:의공학회지
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• 제29권4호
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• pp.307-315
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• 2008

In this paper, we developed a visual-auditory cue software for reading training of motor speech disorder patients. Motor speech disorder patients can use the visual and/or auditory cues for reading training and improving their symptom. The software provides some sentences with visual-auditory cues. Our sentences used for reading training are adequately comprised on modulation training according to a professional advice in speech therapy field. To ameliorate reading skills we developed two algorithms, first one is automatically searching the starting time of speech spoken by patients and the other one is removing auditory-cue from the recorded speech that recorded at the same time. The searching of speech starting time was experimented by 10 sentences per 6 subjects in four kinds of noisy environments thus the results is that $7.042{\pm}8.99[ms]$ error was detected. The experiment of the cancellation algorithm of auditory-cue was executed from 6 subjects with 1 syllable speech. The result takes improved the speech recognition rate $25{\pm}9.547[%]$ between before and after cancellation of auditory-cue in speech. User satisfaction index of the developed program was estimated as good.

• 대한통합의학회지
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• 제6권4호
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• pp.191-206
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• 2018

Purpose : This study investigated the correlation between speech intelligibility and acoustic measurements of speech sounds produced by the children with speech sound disorders and children without any diagnosed speech sound disorder. Methods : A total of 60 children with and without speech sound disorders were the subjects of this study. Speech samples were obtained by having the subjects? speak meaningful words. Acoustic measurements were analyzed on a spectrogram using the Multi-speech 3700 program. Speech intelligibility was determined according to a listener's perceptual judgment. Results : Children with speech sound disorders had significantly lower speech intelligibility than those without speech sound disorders. The intensity of the vowel /u/, the duration of the vowel /${\omega}$/, and the second formant of the vowel /${\omega}$/ were significantly different between both groups. There was no difference in voice onset time between the groups. There was a correlation between acoustic measurements and speech intelligibility. Conclusion : The results of this study showed that the speech intelligibility of children with speech sound disorders was affected by intensity, word duration, and formant frequency. It is necessary to complement clinical setting results using acoustic measurements in addition to evaluation of speech intelligibility.

• 한국엔터테인먼트산업학회논문지
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• 제13권3호
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• pp.249-258
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• 2019

보건의료서비스는 장애인을 포함한 국민의 건강을 위해 제공되는 가장 기초적인 사회제도이다. 그러나 언어장애가 있는 사람 중 언어치료 이용여부에 따른 보건의료서비스의 차이를 알아본 연구는 미흡하였다. 본 연구는 언어장애가 있는 장애인을 대상으로 언어치료 이용여부에 따른 특성과 보건의료서비스의 인식을 비교하고자 하였다. 연구자는 2017년 장애인 실태조사의 원시자료를 이용하여 언어장애를 가진 사람 229명을 선정하였다. 이 중 언어치료를 이용하는 자와 이용하지 않는 자를 구분하여 그들의 특성(사회인구학적 특성, 장애특성)과 보건의료서비스 인식(미충족 의료, 정부 또는 사회에서 강화해야할 보건의료 서비스)을 비교하였다. 229명의 언어장애가 있는 사람 중 언어치료를 이용하고 있는 사람은 37명(16.2%)이었다. 언어치료 이용자는 비이용자와 비교하여 나이가 젊었고, 미취학인 아동이 많았으며, 월평균 총 가구 소득이 높았으며, 장애등록유형에서 지적장애와 자폐성장애가 더 높은 비중을 차지했다. 언어치료 이용자는 비이용자에 비해 미충족 의료 경험의 비율이 낮았다. 미충족 의료 이유에서 언어치료 비이용자 49명의 분포를 살펴보면 '경제적인 이유'와 '의사소통에 어려움'이 13명(6.8%)과 12명(6.3%)로 1순위와 2순위를 차지하였다. 언어치료 비이용자와 이용자 모두는 정부(사회)에서 강화해야 할 보건의료서비스로 '장애관리'를 요구하였다. 본 연구의 결과는 언어장애가 있는 사람의 언어치료 이용의 장벽을 낮추기 위해서 보건의료서비스의 접근성을 증대시킬 필요가 있음을 시사한다.

• 말소리와 음성과학
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• 제3권3호
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• pp.173-179
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• 2011

The present study was performed to investigate the intelligibility of voice disorder patients by providing the various background noise levels. Four sets of 12-sentence-stimuli produced by 11 voice disorder patients were prepared, and 5 minute-news from radio broadcasting studio were used as a background noise. 30 listeners assigned intelligibility score of each sentence with visual analog scale. Each set of sentences was provided with 20dB, 10dB, 0dB noise (same intensity with stimuli), and, finally, with no noise. As results, as background noise level increased, intelligibility scores were lowered with statistical significance. Even though in the same severity, more loud background noise showed much lower scores than less loud noise. When 10dB noise was provided, intelligibility scores showed the biggest difference among the degree of severity.