Variation Measurement and Analysis of Jitter and Shimmer Parameter Value by Hemodialysis in Diabetic and Hypertensive

Kim, Bong-Hyun; Cho, Dong-Uk

doi:10.7840/kics.2011.36b.7.834

Cited by 3 publications

(3 citation statements)

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“…Also, vocalists can adjust the loudness to gradually increase or decrease by training. Usually, in patients with laryngeal cancer, if the vibration of the vocal cords is irregular, the amplitude value at each time point is also not constant (David, 1984;Kim, 2011).…”

Section: Figure 2 Pitch and Jitter Analysis Results Measurement Screenmentioning

confidence: 99%

Analysis of Learning Effect through Voice Signal Analysis in Online Education Environment

Kim¹

2022

JCT

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The new coronavirus infection (COVID-19) that appeared suddenly has permeated our daily lives and changed our way of life. In the field of education, education is being conducted in a non-face-to-face teaching method to prevent the spread of coronavirus. In the end, e-Learning, a new educational and training system that can provide a lifelong education environment in the 21st century information society, is increasing in use in the field of education. The biggest advantage of the online education system is that it provides an environment in which you can learn the necessary contents anytime, anywhere. However, there are cases in which the learning effect is reduced because various learning support is not available in the online space due to the sudden change of the educational environment due to the covid-19. Therefore, in this thesis, a study was conducted to analyze the learning effect of online education with voice signals for college students who are receiving education through an online education environment. To this end, the learning effect was classified into a group saying that the learning effect increased and a group that decreased due to online education, and the voices of the subjects in each group were collected. As a result of the experiment, the results of the vocal cord vibration (Pitch), Degree of voice breaks, Jitter and Shimmer were consistent among the elements of voice signal analysis between two groups.

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Section: Figure 2 Pitch and Jitter Analysis Results Measurement Screenmentioning

confidence: 99%

Analysis of Learning Effect through Voice Signal Analysis in Online Education Environment

Kim¹

2022

JCT

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“…다시 말해 음색이 풍부할 경우 말하는 사람의 공신력이 높게 여겨지며, 역으로 음색의 거친 경우 발화자의 공신력이 떨어지는 소리로 들리게 된 다. 일반적으로 음색을 구성하는 요소는 크게 지터 [10] 와 짐머 [11] 그리고 NHR [12] 등으로 …”

Section: 음색unclassified

Identification of Voice Features for Recently Voice Fishing by Voice Analysis

Lee¹,

Cho²,

Jeong³

2016

The Journal of Korean Institute of Communications and Informati

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The scale of financial damages on voice fishing has not been decreased despite of national and social efforts to reduce the amounts of voice fishing damage. One of these reasons is a sophisticated and vernacular speech style that makes it difficult to recognize the offenders. Furthermore, nowadays, young men have intensively been deceived by not only sophisticated and vernacular speech style which is used the employer of real public offices but also obtained personal information. As a result, this lead directly to the financial damages of younger people who has a stronger judgement than older. For this, we investigated the comparison and analysis between the criminals of voice fishing and the same generation younger people for identifying voice features. The experiment was carried out based on the pitch, bandwidth of pitch, energy, speech speed and voice color for searching the difference of voice characteristics between the criminals of voice fishing and the same generation younger people since 2011. The experimental result shows that there is a significant difference in energy and speech speed between the criminals of voice fishing and the same generation younger people.

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“…다시 말해 음색이 풍부할 경우 말하는 사람의 공신력이 높게 들리며 역으로 음색의 거친 경 우 공신력이 떨어지게 들리게 된다. 일반적으로 음색 을 구성하는 요소는 크게 지터 [11] 와 짐머 [12] 그리고 NHR [13] [14] . 아래 그림 1에 지터와 짐머를 분석하는 과정을 나타내었다.…”

Section: 음색unclassified

Identification of Advantages and Disadvantages Relative to Competitors of Politicians According to the Narrative Styles by Applying Voice Analysis

Choi¹,

Cho

Lee³

et al. 2016

The Journal of Korean Institute of Communications and Informati

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Variation Measurement and Analysis of Jitter and Shimmer Parameter Value by Hemodialysis in Diabetic and Hypertensive

Cited by 3 publications

References 0 publications

Analysis of Learning Effect through Voice Signal Analysis in Online Education Environment

Analysis of Learning Effect through Voice Signal Analysis in Online Education Environment

Identification of Voice Features for Recently Voice Fishing by Voice Analysis

Identification of Advantages and Disadvantages Relative to Competitors of Politicians According to the Narrative Styles by Applying Voice Analysis

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