• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.3
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• pp.233-238
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• 2013

In this paper, voice analysis is performed to propose a quantitative indication of withdrawal symptoms of smartphone addiction, applied to 20 males in their 20s. For this, their smartphones were confiscated during a certain period, and we collected samples of voice signals from them before and after that period. The pitch variation and intensity magnitude of the voice samples were used in the experiment to investigate their anxiety resulted from withdrawal symptoms. The experimental results showed an increase in pitch variation from 90% of samples, and a decrease in intensity magnitude from 95% of them. Finally, we carried out a study to find a statistical significance from the extracted experimental results through statistical analysis.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.5
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• pp.83-94
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• 2016

Providing a voice alarm to drivers approaching a work zone could be an effective alternative to mitigate the potential safety problems of the work zone. This study conceived a voice alarm with a direction sound speaker and a field test was conducted that evaluated the feasibility of the voice alarm at a highway work zone. During the field study, we carried out on-site driver surveys to obtain drivers' perception and preference, collected approaching speeds, and measured sound level during the off-peak 2-hour for two days, respectively. The results showed that while the voice alarm has the potential to be an effective tool in improving safety, the alternative appeared to have the negative effect of noise. Further refinement to a voice alarm with a directional speaker is required to improve feasibility, and the results are expected to be utilized as basic data useful for the refinement.

• Korean Journal of Environment and Ecology
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• v.32 no.1
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• pp.39-46
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• 2018

Breeding bird surveys provide the reference information for understanding bird community structure and function in the ecosystem and conserving biodiversity. Recent rapid change of biodiversity due to climate change and other factors has made it necessary to utilize acoustic sensors for accuracy and spatial expansion of forest bird survey data and for time-series monitoring of forest birds. The objective of this study is to investigate the possibility of using acoustic recording sensor to evaluate the diversity of forest birds at breeding season by comparing and analyzing the recorded data of bird songs and field bird survey data. We conducted the site survey and recording in 186 points in 48 areas of 4 regions of Gombaeryeong and Jochimryeong around Jeombongsan Mountain and Jugryeong and Gochiryeong around Sobaeksan Mountain from May 2nd to 16th in 2013. The analysis of the correlation between the recording result and Bird Community Index based on the field survey showed that the number of bird species, population, and the number of bird songs by recording was significantly correlated to the number of species and population by field survey. Moreover, the number of bird species and the number of bird songs by recording showed a significant correlation to species diversity and species richness but no or low significant correlation to species evenness by the field study (observation and listing in parallel). As a result, it was possible to check species composition and species diversity of bird communities by analyzing acoustic recording data on the field. The acoustic recordings of bird songs in the breeding period were more reliable than the non-breeding period in the correlation of recording result and species diversity and for utilization.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.491-502
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• 2022

Voice technology allows consumers to make purchases through smart devices, and the interest in voice-driven conversational commerce has significantly expanded. In this study, we explored the continuance use intention of voice commerce, and the adoption of a value-attitude-behavior model. An online survey was conducted on 360 individuals who used an artificial intelligence assistant device in a voice commerce environment. We used Amos 23.0 and SPSS 25.0 for descriptive, confirmatory, and structural equation modeling analyses. These results indicated that functional value was the highest influencing variable on satisfaction of voice commerce, while social, emotional, and epistemic values significantly influenced it as well. Additionally, satisfaction of voice commerce significantly influenced the continuance use intention of voice commerce. These findings could help us understand the characteristics of voice commerce users and the diversity value in voice commerce environment.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06c
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• pp.95-98
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• 1994

자연발화상에 포함되어, 음성언어 인식에 장애를 초래하는 간투사의 음성적 특성 중 가장 뚜렷이 구별되는 길이특성얼 분석하여 음성언어 인식에 도움을 주는 것을 목적으로 한다. 이 연구에서는 간투사의 대부분을 차지하는 단음절 단일 간투사에 한정하여, 실제 대화의 녹음자료에서 나타나는 간투사의 빈도수와, 그 길이특성을 신분별, 성별, 간투사 유형별로 분석하였다. 또 간투사를 위치에 따라, 음운구초 간투사, 음운구말 간투사로 나누고, 그 길이를 음절 평균, 음운 구초 음절이나 음운구말 음절의 길이와 비교하여 간투사의 증가율을 측정하였다. 분석결과 가장 높은 빈도수를 보이는 단음절 단일 간투사는 어 이며, 간투사 길이 증가율은, 음절평균에 대해서는 그가, 음운구초 평균에 대해서는 응이 가장 큰 증가율을 나타낸다. 전체적을 음운구초 음절길이에 대한 간투사 길이 증가율이 음절평균 길이에 대한 간투사 길이 증가율보다 더 크게 나타났다. 이러한 분석결과를 통해 하위레벨에서 제거할 수 있는 간투사와, 통사적 또는 의미론적 분석이 필요한 상위레벨에서 처리해야할 간투사를 구별할 수 있다. 이와 같은 길이 특성외에 간투사에 대한 다양한 음성적 특성과, 다음절 단일 간투사와, 이중 간투사에 대한 연구가 진척된다면 음성언어 인식에 장애가 되는 간투사의 효과적 배제가 가능할 것으로 보인다.

• Phonetics and Speech Sciences
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• v.15 no.3
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• pp.17-25
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• 2023

This study examines the fundamental frequency(f0) distribution of 2,740 Korean speakers in a dialogue speech corpus. Praat and R were used for the collection and analysis of acoustical f0 data after removing extreme values considering the interquartile f0 range of the intonational phrases produced by each individual speaker. Results showed that the average f0 value of all speakers was 185 Hz and the median value was 187 Hz. The f0 data showed a positively skewed distribution of 0.11, and the kurtosis was -0.09, which is close to the normal distribution. The pitch values of daily conversations varied in the range of 238 Hz. Further examination of the male and female groups showed distinct median f0 values: 114 Hz for males and 199 Hz for females. A t-test between the two groups yielded a significant difference. The skewness representing the distribution shape was 1.24 for the male group and 0.58 for the female group. The kurtosis was 5.21 and 3.88 for the male and female groups, and the male group values appeared leptokurtic. A regression analysis between the median f0 and age yielded a slope of 0.15 for the male group and -0.586 for the female group, which indicated a divergent relationship. In conclusion, a normative f0 distribution of different Korean age and sex groups can be examined in the conversational speech corpus recorded by a massive number of participants. However, more rigorous data might be required to define a relation between age and f0 values.

• Journal of The Korean Association of Information Education
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• v.6 no.3
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• pp.308-316
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• 2002

In this paper, a learning method of Pansori using voice bulletin board system is introduced. Also, the influence of the proposed approach on learners is analyzed by qualitative methods such as participatory observation, interview and video recording. The results of the qualitative analysis shows that the proposed approach can be effectively applied to Pansori learning. Futhermore, it can be seen that learners have a great interest in Korean traditional folk music.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.105-108
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• 1999

TTS(Text-To-Speech) 시스템 합성음성의 자연감을 개선하기 위해 하나의 언어에 대해 존재하는 운율 법칙을 정확히 구현해야 한다. 존재하는 운율 법칙을 추출하기 위해서는 방대한 분량의 언어 자료 구축이 필요하다. 그러나 이 방법은 존재하는 운율 현상이 포함된 언어자료에 대해 완벽한 운율을 파악할 수 없으므로 합성음성의 질을 좋게 할 수 없다. 본 논문은 한국어 음성의 운율을 학습하기 위해 2개의 인공 신경망을 제안한다. 하나의 신경망으로 문장의 각 음소에 대한 피치 변화를 학습시키는 것이며, 다른 하나는 에너지 변화를 학습하도록 하였다. 신경망은 BP 신경망을 이용하며 11개의 음소를 나타내기 위해 11개의 입력과, 중간 음소의 피치와 에너지 변화곡선을 근사하는 다항식 계수를 출력하도록 하였다. 신경망시스템의 학습과 평가에 앞서, 음성학적 균형잡힌 고립단어를 기반으로 의미있는 문장을 구성하였다. 문장을 남자 화자로 하여금 읽게 하고 녹음하여 음성 DB를 구축하였다. 음성 DB에 대해 각 음소의 운율 정보를 수집하여 신경망에 맞는 목표 패턴과 훈련 패턴을 작성하였다. 이 목표 패턴은 회귀분석을 통한 추세선을 이용해 피치와 에너지에 대한 2차 다항식계수로 구성하였다. 본 논문은 목표패턴에 맞는 신경망을 학습시켜 좋은 결과를 얻었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.1
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• pp.92-100
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• 2016

It is informed that the Voice over LTE(VoLTE) which serves voice and message on IP networks is better in terms of economies of scale than the legacy voice service on 2G/3G circuit-switched networks because of its technological and cost efficiency. In addition, services of voice and data are running on a single LTE network and as a result VoLTE has the more economies of scope. But, there is no study about how much technology-efficiency VoLTE has compared to circuit-based voice service and how much voice charge can be reduced as VoLTE grows up. This paper analyzes empirically cost-efficiency of VoLTE against circuit-based voice service and quantifies the reduction of voice charge as 2G/3G voice traffic shifts to VoLTE. The results describe the first is that the average cost of the total voice traffic rises shortly just after the investment of LTE network for providing VoLTE but it will soon have a capacity available to reduce the charge due to VoLTE's outstanding cost efficiency on the assumption that voice traffic is fixed, and the second is that the charge can be cut to 60% of the current rate in case of all the voice traffic moves to VoLTE. The latter proves partially the validation of data-focusing pricing plan. Our results are expected to become basic data for network operators' establishing pricing strategies and for policy makers' inducing price cutting.

• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.149-154
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• 2018

As the range of professional voice users are expanding, interest towards voice increases as well. Especially as teachers compose the occupational group, exposed to high risk of voice disorder, it is necessary to identify the cause of speech problems and speech disorders. The purpose of this study is to analyze the voice characteristics of teachers and to investigate the causes of voice disorders. From 2000 to 2018, 414 studies were found under a combinated set search words of 'profession', 'Teacher', 'Professional Voice User', 'Voice', 'Voice disorders', 'Risk' and out of them, 8 studies were selected as final focus analysis subjects. The qualitative evaluation was carried out by modifying the Quality: checklist for assessing the Risk of bias. The study confirmed that voice misuse frequently occurred to teachers when they used their voice and this feature was affected by the environment. These results suggest that environment improvement of teachers' speech abuse and consistent voice education are necessary.