• Proceedings of the KSLP Conference
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• 1998.11a
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• pp.218-219
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• 1998

The term "Professional voice user" refers to not only a singer or actor. but also anyone who uses the voice as a primary means of occupational communication Examination begins with observation of a patient and careful listening of the patient's voice during history taking. Examination of the vocal fold includes observation of the vocal fold, its mobility and vibration. (omitted)

• Journal of Pharmacopuncture
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• v.17 no.3
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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.

• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.471-478
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• 2009

The lung diseases classifying as one of the six incurable diseases in modern days are caused mostly by smoking and air pollution. Such causes the lung function damages, and results in malfunction of the exchange of carbon dioxide and oxygen in an alveolus, which the interest is augment with risk diseases of life prolongation. With this in the paper, we proposed a diagnosis method of lung diseases by applying parameters of voice analysis aiming at the getting the voice feature extraction. Firstly, we sampled the voice data from patients and normal persons in the same age and sex, and made two sample groups from them. Also, we conducted an analysis by applying the various parameters of voice analysis through the collected voice data. The relational significance between the patient and normal groups can be evaluated in terms of speech rates and intensity as a part of analized parameters. In conclusion, the patient group has shown slower speech rates and bigger intensity than the normal group. With this, we propose the method of voice feature extraction for lung diseases.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.10B
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• pp.1062-1069
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• 2009

The kidney diseases is a big social problem what is suffering sequela of metabolic syndrome due to obesity. Therefore, it is most important that early to take the appropriate action; it does not have symptoms Abnormalities of the kidney. With this, in mind, this paper wish to propose the method to can diagnosis by non self-consciousness, non-imprisonment, analgesia of kidney disease through the voice analysis. To configure the entire system is developed to combines the voice analysis, watching the face color and this paper is designed the method to diagnosis kidney disease based on labial. In this paper, organized each kidney disease patients and healthy people group and we would like to analyze, compare with output in experiment morphology analysis and numerical value analysis of voice information. Secondly, auscultation theory of Oriental medicine and linguistic, phonetics analyze out interrelation to extraction peculiar elements of kidney about voice deduction deduced relation of the first formants frequency. Such result of experimentation, deduced widely to be formed the first formants frequency bandwidth value of kidney patients group than normal group. Finally, diagnosing an kidney diseases in only labial sound, calculated about misdiagnosis probability.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.31 no.2
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• pp.49-55
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• 2020

Evaluating the patient's voice before thyroidectomy is useful for the purpose of identifying patients with vocal cord paralysis without symptoms, identifying other patient's voice abnormalities, and whether it is related to voice disorders that may occur after surgery. Also voice evaluation after thyroid surgery is helpful in diagnosis, treatment, and rehabilitation and follow-up of voice disorders that occur without clear nerve damage after thyroidectomy. And it is helpful for rapid recovery through active early rehabilitation treatment for patients who complain of speech impairment without paralysis. In particular, neck exercise can improve the adhesion of the surgical site and increase the range of motion of the neck as well as improve subjective neck discomfort. In addition, hearing, voice and breathing functions should be improved, and voice hygiene education and counseling should be provided. Vocal cord injection is the first treatment option for unilateral vocal cord palsy. By establishing a protocol for voice disorders before and after thyroid surgery and providing appropriate treatment, the quality of life of patients can be improved.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.33 no.3
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• pp.183-187
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• 2022

Dysphonia is well known as one of the otolaryngological symptoms of coronavirus disease 2019 (COVID-19) infection. The vocal changes of the COVID-19 condition have been reported in terms of parameters of multi-dimensional voice assessment, including acoustic analysis, auditory-perceptual evaluation, and psychometric assessment. However, there has not been a daily followup study in patients with acute COVID-19 infection. In this study, a 41-year-old male performed daily voice recordings of vowel phonation and passage-reading tasks during the self-quarantine period of one week. Compared to the normal voice status of the prepandemic period, voice abnormalities peaked on day two after the diagnosis of COVID-19 infection and recovered after one week.

• Korean Journal of Bronchoesophagology
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• v.7 no.2
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• pp.161-167
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• 2001

Background and Objectives： Total laryngectomy is often required for advanced cases. But this operation induced the many inconvenience of basic daily life. Early diagnosis of laryngeal cancer is very important to prevent from this disastrous condition. In this point of view, mass screening test for early detection of laryngeal cancer is necessary. Screening test using voice has many advantages such as simple, less interventional. Voice collection by Automatic Response System(ARS) is comfortable and easy to got acoustic sample. Thus author tried to got the acoustic parameters which can differentiate normal, benign. and malignant laryngeal diseases and also checked the availability of parameters on neural network system. Materials and Methods: Author has evaluated the voice from 17 laryngeal cancer patients and 45 benign laryngeal disease patients who visited at Department of Otolaryngology, Pusan National University Hospital from May 1998 to April 2001, and 15 normal control. Author chose the sir Parameters (Jitt. vFo, Shim, vAm, NHR, SPI) that was thought to be related with voice collected by ARS among thirty-three parameters analysed by a Multi-Dimensional Voice Program (MDVP). Two-step neural network was used for the availability of six parameters. Results: The detection rate of normal voice by ARS voice analysis is 78.5% and detection rate of abnormal voice was 97.1 o/o. Among abnormal voice, the detection rate of benign laryngeal diseases and laryngeal cancers were 82.4 o/o, 70.6% respectively. Conclusion: Author concluded that six parameters and Matlab based neural network software may be effective in development of acoustic screening system for laryngeal cancer and further study should be necessary for development of new acoustic parameters.

• Phonetics and Speech Sciences
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• v.4 no.4
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• pp.95-107
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• 2012

As BTX-A, which has been known to be the most effective treatment for ADSD, is not effective in treating vocal tremors, voice assessment must be employed to perform differential diagnosis of SD and vocal tremor in an accurate fashion. In this study, the characteristics of vocal changes after botulinum toxin injection were compared by analyzing the voice characteristics resulting from the presence of vocal tremors using objective analysis devices, with the aim of helping to provide prognoses and to determine remedial effects in clinical cases comprising patients with adductor spasmodic dysphonia accompanied by voice tremors. Respiratory function tests, aerodynamic analysis, electroglottography (EGG), acoustic analysis, auditory perception tests, and K-VHI had been conducted at intervals of four, eight, and twelve weeks before and after injection, targeting a group of 17 ADSD female patients (a ADSD group of four with vocal tremor and a ADSD group of 13 without voice tremor). For average FVC and FEV1, the T group showed statistically significant low averages compared with the NT group, whereas the T group showed statistically significant high average ATRI compared with the NT group. In addition, the T group showed a statistically significant Fatr, lower than that of the NT group. For the ADSD group of patients with voice tremor, their vocal tremor remained unchanged despite noticeable decrease in wringing voices. In other words, as the vocal tremor and wringing voices are two distinctive features, there is a need for the two features to be targeted separately for differential diagnosis.

• Speech Sciences
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• v.13 no.3
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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/.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.23 no.1
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• pp.48-51
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• 2012

Background and Objectives : Vocal fold cyst is generally treated by surgical resection, it has a difference with vocal fold polyp, treated by conservative management first. Decrease in mucosal waves is known as main diagnostic criteria of vocal fold cyst. Sometimes there is a difficulty for diffrential diagnosis between cyst and polyp only by endoscopic examination. The purpose of the study is to identify the objective features of vocal cyst and polyp on the basis of voice analysis for the proper differential diagnosis, especially at high pitched phonation. Materials and Method : The voice analysis was done in 15 focal fold cyst patients and 42 vocal fold polyp. Parameters of perceptual assessment, acoustic and aerodynamic measure, and voice range profile were compared between two groups. Results : Vocal fold cyst patients showed significantly reduced MPT by acoustic and aerodynamic analysis, narrowed frequency-range and low maximun frequency by voice range profile analysis compared with vocal fold polyp patient. Maximun frequency 381 Hz is established for cut off value, differential diagnosis between cyst and polyp (ROC analysis, sensitivity 60%, specificity 68%). Conclusion : Voice analysis is helpful for differential diagnosis between vocal fold cyst and polyp, especially there is a difficulty for distinguish cyst from polyp at clinical situation by endoscopic examination. The result of decreased maximum frequncy at vocal fold cyst supports incomplete high-pitched phonation and falsetto regester at vocal fold cyst patients due to decreased mucosal wave, compared with vocal fold polyp patients.