• 대한후두음성언어의학회지
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• 제32권2호
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• pp.87-93
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• 2021

There are a number of voice analysis programs around the world. Domestic voice analysis is performed by relying heavily on specific commercial program. We intend to develop coding for voice analysis using Praat and apply it to clinical practice. This study consisted of Experiment 1 and Experiment 2. Experiment 1 was the development of automated voice analysis coding based on Praat. The coding was largely divided into a recording, an analysis, and a storage section. Experiment 2 was applied to the voice analysis of 2 male patients pre- and post-operation with this coding. The analysis parameters of this coding provided 26 parameters for vowel /a/, nine parameters for sentence analysis, and a total of 4 parameters for voice range profile analysis. In two male patients, the pitch and the intensity increased, the voice quality improved, and the sentence length decreased after surgery. The coding was well made, so the output was good in real time. The code is automated as much as possible to block manual errors and increases convenience and efficiency by generating the result sheet in real time.

• 말소리와 음성과학
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• 제1권1호
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• pp.99-107
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• 2009

In view of the hypothesis that the effects of Parkinson disease on voice production can be detected before pharmacological intervention, the voice differences of patients with Idiopathic Parkinson's disease and a healthy aging group were diagnostically analyzed with the long term object of establishing, for clinical purposes, early disease-progression biomarkers. Fifteen patients with Idopathic Parkinson's disease (prior to pharmacological intervention) and a healthy control group of 15 were selected and every voice was recorded three times using praat (ver. 5022) with a headset mic. Relevant parameters - acoustic measure of /a/ phonation, F0 related parameters, MPT related parameters, articulatory ratio, VOT - were then analyzed by MANOVA. Significant differences were found in the F0 related (low F0, high F0, F0 range) and MPT related parameters. There were also significant differences in acoustic measurements (intensity, shimmer, HNR, jitter), AMR (/$t{\Lambda}$/,/$k{\Lambda}$/) and VOT (/ta/), The findings indicated that the voice production of patients with Idiopathic Parkinson's disease have normal pitch but bad quality. In particular, with slow articulatory ratios and VOT values, the tongue tip functioning of patients was lower than for the healthy group.

• 대한후두음성언어의학회지
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• 제15권1호
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• pp.5-9
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• 2004

Some patients who have undergone adenotonsillectomy (AT) or tonsillectomy(T) complain of voice change. Research was designed to determine the relationship between subjective voice change and change of parameters in boice analysis and to find the degree of voice change according to age and excised tissue volume. In 34 patients who underwent AT and 17 patients who underwent T, we measured the masalance, the fundamental frequency of /a/phonation and the formants and bandwidths of /a/, /i/, /u/ phonations. These parameters were measured preoperatively and also 7 days after the operation. Excised tissue volume was measured on operation. Postoperative changes were statistically analyzed. Any subjective voice change was asked to be reported at the visit 7 days after the operation. There was analysis for the difference of above parameters between some who answered "voice change" (A group) and the others who answered "no voice change" (B group). 24 patients(71%) who underwent AT and 4 voice change. Nasals nasalance change is an important factor in subjective voice change after AT.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2003년도 5월 학술대회지
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• pp.187-190
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• 2003

The purpose of this paper is to research the phonetic parameters used on the voice imitation. First of all, the fundamental frequency is imitated effectively. Distinctive prosodic patterns are used repeatedly on the voice imitation. Speaking rate is used in special measure in case the target speaker has extraordinary speaking rate. Also formant frequency is imitated variously. In sum, distinctive characteristics perceived by listener are used on voice imitation.

• 말소리와 음성과학
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• 제1권4호
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• pp.147-157
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• 2009

The purpose of the study is to develop the normal voice database and to analyze the acoustic characteristics of Korean adults' voices by gender using MDVP. Eight categories in the 34 parameters of MDVP were analyzed in the voices of 170 Korean normal adults taken from /a/ vowel. Among them, Fundamental Frequency Parameters and Frequency Perturbation Parameters were significantly different by gender. In addition, Fundamental Frequency Parameters of our data were remarkably different from the data suggested in the MDVP program which currently used in clinics. Therefore, the data obtained from the current study can be effectively used for the diagnosis of voice disorders of Korean adults as the standard parameter values of MDVP.

• 말소리와 음성과학
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• 제2권4호
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• pp.223-228
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• 2010

This study investigated the closed quotient and other voice quality parameters using electroglottography (EGG) in sustaining the vowel /a/ and reading a sentence at the comfortable pitch and loudness in healthy Korean adults. Seventy two healthy adults (36 men, 36 women) aged 20~40 years were included in the study. The tasks were recorded and analyzed using Lx Speech Studio. In vowel sustaining task, closed quotient (Qx), fundamental frequency (Fx), sound pressure level (SPL), Jitter, and Shimmer were measured. In sentence reading task, closed quotient (DQx), fundamental frequency (DFx), and sound pressure level (DAx) were measured. The sex effects were observed on Qx, Fx, Shimmer, DQx, and DFx. Men had significantly higher Qx and DQx than women, but had significantly lower Shimmer than women. However, there was no sex effect on Jitter. The task effects on Qx and SPL as well as DQx and DAx were also assessed. Qx and SPL were significantly higher than DQx and DAx in both gender. This study showed that the closed quotients in both vowel sustaining and sentence reading tasks were significantly related to other voice quality parameters. Therefore, clinicians and researchers should describe the voice quality parameters like fundamental frequency, sound pressure level, Jitter, Shimmer, and so on when reporting closed quotients using EGG.

• 대한전자공학회논문지SP
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• 제45권4호
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• pp.92-99
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• 2008

본 논문에서는 보이스 피싱 (Voice Pishing) 예방을 위한 알고리즘을 3GPP2 Selectable Mode Vocoder (SMV) 코딩 파라미터를 기반으로 제안한다. 상대방 휴대폰에서 전송된 신호를 기반으로 SMV의 복호화 과정에서 자동적으로 추출되는 중요 특징벡터만을 사용하여 Gaussian Mixture Model (GMM)을 구성하고 이를 기반으로 보이스 피싱 예방을 위한 검출 알고리즘을 제안하였다. 실험 결과 제안된 코딩 파라미터 기반의 보이스 피싱 알고리즘이 전화사기 예방에 우수한 성능을 보인 것을 알 수 있었다.

• 한국음향학회:학술대회논문집
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• 한국음향학회 2000년도 하계학술발표대회 논문집 제19권 1호
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• pp.115-118
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• 2000

Voice conversion technology is essential for TTS systems because the construction of speech database takes much effort. In this paper. male-to-female voice conversion technology in Korean LPC TTS system has been studied. In general. the parameters for voice color conversion are categorized into acoustic and prosodic parameters. This paper adopts LSF(Line Spectral Frequency) for acoustic parameter, pitch period and duration for prosodic parameters. In this paper. Pitch period is shortened by the half, duration is shortened by $25\%, and LSFs are shifted linearly for the voice conversion. And the synthesized speech is post-filtered by a bandpass filter. The proposed algorithm is simpler than other algorithms. for example, VQ and Neural Net based methods. And we don't even need to estimate formant information. The MOS(Mean Opinion Socre) test for naturalness shows 2.25 and for female closeness, 3.2. In conclusion, by using the proposed algorithm. male-to-female voice conversion system can be simply implemented with relatively successful results.

• The Journal of the Acoustical Society of Korea
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• 제21권2E호
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• pp.98-104
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• 2002

The present study describes a combination method to recognize the human affective states such as anger, happiness, sadness, or surprise. For this, we extracted emotional features from voice signals and facial expressions, and then trained them to recognize emotional states using hidden Markov model (HMM) and neural network (NN). For voices, we used prosodic parameters such as pitch signals, energy, and their derivatives, which were then trained by HMM for recognition. For facial expressions, on the other hands, we used feature parameters extracted from thermal and visible images, and these feature parameters were then trained by NN for recognition. The recognition rates for the combined parameters obtained from voice and facial expressions showed better performance than any of two isolated sets of parameters. The simulation results were also compared with human questionnaire results.

• 대한두경부종양학회지
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• 제33권2호
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• pp.17-22
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• 2017

Background and Objectives: Voice change after thyroidectomy may develop without injury of recurrent laryngeal nerve. Psychogenic or emotional factors related to voice change after thyroidectomy has been rarely studied. In this study, we sought to analyze the impact of anxiety on early state of post-thyroidectomy voice change. Materials and Methods: We made a retrospective chart review of 36 patients who underwent thyroidectomy for papillary thyroid carcinoma and voice exam before surgery, 2 weeks after and 1 month after surgery. All patients included in the study answered a questionnaire for State-Trait Anxiety Inventory ; STAI-KYZ (form Korean YZ). Clinico-pathologic factors and parameters of voice analysis were reviewed to analyze correlation to the anxiety index. Results: No differences were identified between clinicopathologic factors and preoperative parameters of voice analysis between patients with higher and lower level of anxiety. Noise to harmonic ratio (NHR) was higher in those patients with higher level of anxiety, 2 weeks after surgery (p=0.043). However, none of the parameters showed any difference 1 month later. Conclusion: With limited number of patients and short period of follow up, significant impact of preoperative anxiety on postoperative voice change after thyroidectomy could not be identified in this preliminary study.