• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.11 no.1
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• pp.12-19
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• 2000

Background and Objectives : Dysphonia may be secondary to many different type of benign vocal cord lesions such as vocal polyp, vocal nodule, Reinke's edema, and intracordal cyst. Diagnosis and treatment of intracordal cysts are more difficult than other benign vocal cord lesions. But postoperative voice analysis of intracordal cyst have rarely been reported in the literature. The purpose of this study is to analyze aerodynamic and acoustic results and videostroboscopic findings before and after laryngomicrosurgery. Materials and Methods : We reviewed the pre and post-operative voice analysis results and videostroboscopic findings of 15 surgically treated patients of intracordal cysts at Severance hospital from Jun. 1997 to Nov. 1999 retrospectively. They were diagnosed with videostroboscopic findings, surgical findings, and pathologic reports. Their pre and post-operative speech were analyzed with MDVP(Multi Dimension Voice Analysis Program) of CSL(Computerized Speech Lab) and Aerophone II. Their pre and post-operative mucosal wave of true vocal cord was analyzed with videostroboscopy. In order to compare this results with normal group, 10 of normal persons were evaluated with same methods. Results : After the operation, mucosal wave of true vocal cord was improved in all patients. Postoperative acoustic and aerodynamic results were improved in almost parameters, but they did not reach the normal value. Conclusions : Videostroboscopy was essential in diagnosing intracordal cysts. By comparing the acoustic and aerodynamic results and video-stroboscopic findings before and after the laryngomicrosurgery, postoperative vocal function was defined more accurately and objectively. Almost parameters may be useful in assessing the quantitative changes in vocal quality before and after the laryngomicrosurgery.

• Korean Journal of Otorhinolaryngology-Head and Neck Surgery
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• v.55 no.8
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• pp.498-507
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• 2012

Background and Objectives We aimed to develop a Korean version of the velopharyngeal insufficiency (VPI) speech corpus system. Subjects and Method After developing a 3-channel simultaneous speech recording device capable of recording nasal/oral and normal compound speech separately, voice data were collected from VPI patients aged more than 10 years with/without the history of operation or prior speech therapy. This was compared to a control group for which VPI was simulated by using a french-3 nelaton tube inserted via both nostril through nasopharynx and pulling the soft palate anteriorly in varying degrees. The study consisted of three transcriptors: a speech therapist transcribed the voice file into text, a second transcriptor graded speech intelligibility and severity and the third tagged the types and onset times of misarticulation. The database were composed of three main tables regarding (1) speaker's demographics, (2) condition of the recording system and (3) transcripts. All of these were interfaced with the Praat voice analysis program, which enables the user to extract exact transcribed phrases for analysis. Results In the simulated VPI group, the higher the severity of VPI, the higher the nasalance score was obtained. In addition, we could verify the vocal energy that characterizes hypernasality and compensation in nasal/oral and compound sounds spoken by VPI patients as opposed to that characgerizes the normal control group. Conclusion With the Korean version of VPI speech corpus system, patients' common difficulties and speech tendencies in articulation can be objectively evaluated. Comparing these data with those of the normal voice, mispronunciation and dysarticulation of patients with VPI can be corrected.

• Phonetics and Speech Sciences
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• v.15 no.4
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• pp.53-60
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• 2023

This study compared the absolute error of estimated fundamental frequency (AEF0) using voice - (VRP) and speech range profile (SRP) tasks across various etiological groups with voice disorders. Additionally, we explored the association between AEF0 and related voice parameters within each specific etiological group. The participants included 120 individuals, comprising 30 each from the functional (FUNC), organic (ORGAN), and eurological (NEUR) voice disorder groups, and a normal control group (NC). Each participant performed voice and SRP tasks, and the fundamental frequency of connected speech was measured using electroglottography (EGG). When comparing the AEF0 measures across the etiological groups, there were no differences in Grade and Severity among the patients. However, variations were observed in AEF0_VRP and AEF0_SUM. Specifically, AEF0_VRP was higher in the ORGAN group than in the FUNC and NC groups, whereas AEF0_SUM was higher in the ORGAN group than in the NC group. Furthermore, within FUNC and NEUR, AEF0 showed a positive correlation with Grade, while in ORGAN, it exhibited a positive correlation with the mean closed quotient (CQ). Attention should be paid to the application of AEF0 measures and related voice variables based on the etiological group. This study provides foundational information for the clinical application of AEF0 measures.

• Phonetics and Speech Sciences
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• v.16 no.2
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• pp.91-97
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• 2024

The aim of this study was to develop and validate the Acoustic Voice Tremor index (AVTI) for the acoustic measurement of voice tremor. A total of 71 normal adults and 41 patients with voice tremor participated in the study. Vowels /a/ were recorded for at least five seconds. Three seconds of vowel stable duration were edited to identify measures of 18 variables related to voice tremor using a Praat script. These variables and the overall severity (OS) of auditory-perceptual assessment were used to design the AVTI using linear regression analysis. The linear regression analysis identified four out of the 18 variables as significant, and a regression equation was constructed. Furthermore, internal and external validity studies demonstrated high correlations, with an average of over 0.8. The AVTI demonstrated a high correlation of 0.841 with OS. The AVTI was found to be capable of predicting voice tremor. Further studies should include a larger number of voice samples and a complementary Praat script for further analysis.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.51-55
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• 2010

Tele-marketing service has been provided through voice media in a several places such as modern call centers. In modern call centers, they are trying to measure their service quality, and one of the measuring method is a extracting speaker's feeling information in their voice. In this study, it is proposed to analyze speaker's voice in order to extract their feeling information. For this purpose, a person's feeling is categorized by analyzing several types of signal parameters in the voice signal. A person's feeling can be categorized in four different states: joy, sorrow, excitement, and normality. In a normal condition, excited or angry state can be major factor of service quality. In this paper, it is proposed to select a conversation with problems by extracting the speaker's feeling information based on pitches and amplitudes of voice.

• Speech Sciences
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• v.12 no.3
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• pp.19-33
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• 2005

Tremor is a main factor of parkinsonism. Voice tremor may be the first, later or the only symptom of a neurological disease and its frequency, amplitude, and regularity may differ among the diseases of different neural subsystems. Differential diagnosis between idiopathic Parkinson's disease (IPD) and multiple system atrophy (MSA) has been difficult. This study included three groups: (1) 6 IPD patients; (2) 6 MSA patients; and (3) 20 ageand sex-matched normal controls. The MDVP (Multidimensional Voice Program) was used to analyze the sustained /a/phonation. The results were as follows: (1) frequency perturbation parameters (jitter, sPPQ, Vf0) and FTRI of tremor parameter of two patient groups were statistically different from those of the controls (p < .01); (2) measures were higher in short-term and long-term f0 and amplitude perturbation in MSA than IPD; (3) however, any acoustic parameters between IPD and MSA were not statistically different; except for the rate of frequency tremor, 4$\sim$5 Hz in IPD, 5$\sim$11 Hz in MSA and (4) the pattern of regularity for voice tremor through histogram indicated that amplitude of IPD was irregular while both f0 and amplitude of MSA were irregular. In conclusion, F0, rate of frequency tremor, and pattern of f0 regularity may be predictors for differential diagnosis. These findings might signify that voice tremor of parkinsonism was resulted from modulation of f0.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.11 no.1
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• pp.104-112
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• 2000

An evaluation of voice disorder has two methods. One is a perceptual analysis and the other is an acoustic analysis. All of these methods are just focused on sustained vowel. The analysis of conversational speech levels in voice disorder has not been achieved enough. The purpose of the present study is to compare two syllable words and sustained vowel in the vocal polyp patients and normal male speakers and to be applied on the vocal assessment and the voice therapy as a basic data. fifteen male patients with vocal polyp were the subject group. Fifteen healthy male were the control group for this study. The voices of the subject and control group, saved in MDVP of CSL were analyzed by its own analysis program. As a results, in subject group, the voice qualities between the vowel following lenis stop and the sustained vowel had no differences, and the voice qualities were different significantly between the vowel following heavily aspirated stop and the sustained vowel. In the control group the vowel fllowing stops and sustained vowel had also many differences in their voice quality, especially significant between the vowel following glottal stop and e sustained vowel.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.7 no.1
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• pp.27-31
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• 1996

The voice of aged persons is known generally to be somewhat different from that of other adults, suggesting that laryngeal change occurs with advancing age. However, because knowledge of the voice characteristics of aged persons is limited, it is difficult to judge whether their voices arc normal. Chart review and laryngoscopic examination from ninety-one patients with hoarseness over the age of 60(1st group) and one hundred sixteen patients with hoarseness below the age of 50(2nd group) were done to define aging related voice disorders. The following results were obtained. 1) Associated diseases related to laryngeal disease were hypertension(12%), pulmonary disease(4.4%), thyroid disease(1.1%) in 1st group and hypertension(9.5%), thyroid disease(1.7%) in 2nd group. 2) The underlying diseases causing hoarseness in order of frequency were benign vocal fold lesion(37.7%), inflammatory disease(36.8%), functional dysphonia(17%) in 1st group and benign vocal fold lesion(43.6%), functional dysphonia(26.3%), inflammatory disease(16.5%) in 2nd group. 3) In stroboscopic findings, atrophy and sulcus of vocal cords are more prevalent in males than in females and edema of vocal cords is more common in females. Generally the voice characteristics of aged persons depend on the mass of the vocal folds which may be decreased through atrophy or be increased by edema. However, other factors such as systemic diseases, drug side effects and compensatory mechanism to presbylaryngis must be taken into account in diagnosing and treating voice disorders in aged persons.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.33 no.3
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• pp.142-155
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• 2022

Diagnosis using voice is non-invasive and can be implemented through various voice recording devices; therefore, it can be used as a screening or diagnostic assistant tool for laryngeal voice disease to help clinicians. The development of artificial intelligence algorithms, such as machine learning, led by the latest deep learning technology, began with a binary classification that distinguishes normal and pathological voices; consequently, it has contributed in improving the accuracy of multi-classification to classify various types of pathological voices. However, no conclusions that can be applied in the clinical field have yet been achieved. Most studies on pathological speech classification using speech have used the continuous short vowel /ah/, which is relatively easier than using continuous or running speech. However, continuous speech has the potential to derive more accurate results as additional information can be obtained from the change in the voice signal over time. In this review, explanations of terms related to artificial intelligence research, and the latest trends in machine learning and deep learning algorithms are reviewed; furthermore, the latest research results and limitations are introduced to provide future directions for researchers.

• Speech Sciences
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• v.12 no.2
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• pp.121-128
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• 2005

This study was an attempt to determine acoustic characteristics in myna bird's notes. Two myna birds' sounds imitating a normal male voice in his late 20's were sampled and analyzed. The analyses included the mean values of F1, F2, F3 and pitch contours. The results were as follows; First, there was a significan difference in the mean values of F1, F2, and F3 in isolatd vowel /a/ and /i/ between the myna birds' sounds and the human voice. However, there was no apparent difference in pitch contour of their formants. Second, there was a difference in pitch contour of their formants in their sentence ('hn-nyung-ha-se-yo?' meaning 'How are you?') production. Namely, the myna birds' pitch contour was located higher than that of the human's.