• Phonetics and Speech Sciences
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• v.8 no.2
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• pp.49-56
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• 2016

The study examined that parents and teachers were aware of what extents behavioral characteristics were related to the children's voice problems. The voice samples of 89 children in the ages of 3 to 5 were collected and their voice quality were graded by G scale of GRBAS. The parents and teachers of the children were asked to complete the questionnaire composed of the pediatric Voice Handicap Index (pVHI) and the psycho- and voice behavioral characteristics of their children. The results are as follows. First, there were no significant differences in both pVHI and behavioral characteristics of their children by G scale. However, significant differences were shown in the behavioral characteristics between parents and teachers, but no difference in pVHI between them. In addition, there was a significant correlation between the psycho-behavioral characteristics and the voice behavioral characteristics in both parents and teachers. These results represent that parents and teachers are not aware of the presence of their children's voice problems and such voice problems are affected by behavioral characteristics associated with the use of voice.

• Phonetics and Speech Sciences
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• v.9 no.4
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• pp.91-97
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• 2017

This study categorizes several voice characteristics by subjective listening assessment, and investigates correlation between voice characteristics and speech feature parameters. A model was developed to classify voice characteristics into the defined categories using SVM algorithm. To do this, we extracted various speech feature parameters from speech database for men in their 20s, and derived statistically significant parameters correlated with voice characteristics through ANOVA analysis. Then, these derived parameters were applied to the proposed SVM model. The experimental results showed that it is possible to obtain some speech feature parameters significantly correlated with the voice characteristics, and that the proposed model achieves the classification accuracies of 88.5% on average.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.189-207
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• 2021

Voice interaction combined with artificial intelligence is poised to revolutionize human-computer interactions with the advent of virtual assistants. This paper is analyzing interactive elements of AI-based voice recognition services such as sympathy, assurance, intimacy, and trust on intention to use. The questionnaire was carried out for 284 smartphone/smart TV users in Korea. The collected data was analyzed by structural equation model analysis and bootstrapping. The key results are as follows. First, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy, and trust have positive effects on interactivity with the AI-based voice recognition service. Second, the interactivity with the AI-based voice recognition service has positive effects on intention to use. Third, AI-based voice recognition service characteristics such as interactional enjoyment and intimacy have directly positive effects on intention to use. Fourth, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy and trust have indirectly positive effects on intention to use the AI-based voice recognition service by mediating the effect of the interactivity with the AI-based voice recognition service. It is meaningful to investigate factors affecting the interactivity and intention to use voice recognition assistants. It has practical and academic implications.

• Phonetics and Speech Sciences
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• v.10 no.3
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• pp.49-59
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• 2018

The purpose of this study was to investigate vocal hygiene habits and Korean Voice-Related Quality of Life (K-VRQOL) among classical singers. A total of 128 classical singers filled an online voice and K-VRQOL questionnaire, and the results were analyzed. In order to investigate the characteristics of K-VRQOL according to age groups, and the presence or absence of a history of voice problems, we conducted a two-way ANOVA. The results are as follows. Of the 128 classical singers, 28 (21.9%) with a history of voice problems said that excessive conversation, singing practice, and yelling were the causes of their voice problems. The symptoms of voice problems were fatigue, loss of range, hoarseness, and breathiness. In addition, classical singers were less likely to smoke, or to drink alcohol or caffeine. The K-VRQOL was highly correlated with all sub-domains. There was a statistically significant difference according to age groups (p<.05) and history of voice problems (p<.01). There was no correlation between age groups and history of voice problems. Voice management is important because classical singers can ruin their voice by speaking, and the risk of voice disorder is high. Voice problems affect quality of life. In future studies, it is necessary to obtain information on the subjective voice characteristics of classical singers by examining the relationship between their voice hygiene habits and VHI, SVHI, and K-VRQOL.

• Phonetics and Speech Sciences
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• v.3 no.4
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• pp.85-91
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• 2011

Sasang constitution medicine utilizes voice characteristics to diagnose a person's constitution. To classify Sasang constitutional groups using speech information technology, this study aims at establishing the relationship between Sasang constitutional groups and their corresponding voice characteristics by investigating various speech feature variables. The speech variables include features related to speech source and vocal tract filter. Experimental results show that statistically significant correlation between voice characteristics and some speech feature variables is observed.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.11 no.2
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• pp.146-160
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• 2000

The current study aimed to establish rationales for using three different voice therapies (resonant voice, accent method, and tongue-tip trills) by comparing the aerodynamic, and vocal fold closure characteristics under three therapies. A total of 8 male under/graduate students(tenors) participated as subjects. In order to compare aerodynamic characteristics, air flow rates and subglottal pressures were measured using Phonatory function analyzer under three therapy conditions. The characteristics of vocal fold closure patterns also were examined by comparing closed quotients(CQ) measured by Electroglottograph(EGG) under three therapy conditions. However, maximum phonation time (MPT) was measured under only resonant voice and tongue-tip trills using Aerophone II. The results are summarized as follows : 1) CQ, subglottal pressure and MPT decreased significantly under resonant voice as compared with throat voice, but the air flow rate increased significantly under resonant voice. 2) CQ decreased significantly under accent method as compared with throat voice, but both air flow rate and subglottal pressure increased significantly under accent method. 3) Both CQ and MPT decreased significantly under tongue tip trills as compared with throat voice, but air flow rate and subglottal pressure increased significantly under tongue-tip trills. Clinical implications of results were discussed in light of differential effects of three voice therapies.

• MALSORI
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• no.35_36
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• pp.37-48
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• 1998

When we hear someone's voice, even without having met the person before, we usually make up a certain mental image of the person. This study aims at investigating the relationship between the voice and the image information carried within the voice. Does the mental picture created by the voice closely reflect the real image and if not, is it related with the real image at all\ulcorner To answer the first question, a perception experiment was carried out. Speech samples reading a short sentence from 8 males and 8 females were recorded and pictures of subjects were also taken. Ajou University students were asked to participate in the experiment to match the voice with the corresponding picture. Participants in the experiment correctly match 1 female voice and 4 male voices with their corresponding pictures. However, it is interesting to note that even in cases of mismatch, the results show that there is a very strong tendency. In other words, even though participants falsely match a certain voice with a certain picture, majority of them chose the same picture for the voice. It is the case for all mismatches. It seems that voice does give the listener a certain impression about physical characteristics even if it might not be always correct. By showing that there is a clear relationship between voice and image, this study provides a starting point for further research on voice characteristics: what characteristics of the voice carry the relevant information\ulcorner This kind of study will contribute toward the understanding of the affective domain of human voice and toward the speech technology.

• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.2
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• pp.196-202
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• 2003

The object of this article is to study the plausibility of applying human voice warning system to automobiles. Human voice is considered the best tool for warning system in automobiles. For the purpose of comprehending the specific characteristics of relation between noises and properties of the automobiles indoors and voice warning system researcher performed FRF test in order to examine the characteristics of voice output, and FEM simulation to learn the specific properties of the car indoors. And furthermore, surveyed the quality of voice output, using the written inquiry to examine members. The result of the study shows that it is much possible to apply voice warning system to automobiles.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.30 no.2
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• pp.87-94
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• 2019

The purpose of this study was to investigate the speech characteristics and speech therapy of Parkinson disease (PD). This study selected 28 papers published in Korea from 1998 to 2018 after searching the terms 'Parkinson voice' and 'Parkinson speech therapy.' Literature review had been conducted in the two aspects of speech characteristics and speech therapy. The speech characteristics were divided into respiration, phonation, articulation, prosody, vowel production, and voice questionnaire. Speech therapy was divided into Lee Sliverman voice treatment (LSVT) and other voice therapy. PD patients did not differ in respiration function compared to normal elderly people, but their speech and articulation function were poorer. There was also a difference in the speech rate, frequency of pause, and accuracy of vowel production compared with normal elderly people. PD had a lower VHI score and their voice related quality of life was a little poorer. The LSVT was typically used in speech therapy for PD. The methods of speech therapy for PD have been shown to improve respiration and phonation. It is necessary to establish voice norms in PD patients and develop effective speech therapy in the following study.

• Speech Sciences
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• v.2
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• pp.25-44
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• 1997

When listening the various speech synthesis systems developed and being used in our country, we find that though the quality of these systems has improved, they lack naturalness. Moreover, since the voice color of these systems are limited to only one recorded speech DB, it is necessary to record another speech DB to create different voice colors. 'Voice Color' is an abstract concept that characterizes voice personality. So speech synthesis systems need a voice color control function to create various voices. The aim of this study is to examine several factors of voice color control rules for the text-to-speech system which makes natural and various voice types for the sounding of synthetic speech. In order to find such rules from natural speech, glottal source parameters and frequency characteristics of the vocal tract for several voice colors have been studied. In this paper voice colors were catalogued as: deep, sonorous, thick, soft, harsh, high tone, shrill, and weak. For the voice source model, the LF-model was used and for the frequency characteristics of vocal tract, the formant frequencies, bandwidths, and amplitudes were used. These acoustic parameters were tested through multiple regression analysis to achieve the general relation between these parameters and voice colors.