• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.405-410
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• 2008

There is always a rhythm in our language and speech. As soon as we speech out, even just simple words and voice we make are edited as various emotions and information. Through this process we succeed or fail in our communication, and it becomes a fun communication or a monotonous delivery. Even with the same music, impression of the play can be different according to each musician' s emotion and their understanding. We 'play' our language in the same way as that. However, I think, people are used to the variety, which is, in fact, the variation of a set format covered with hollow variety. People might have been living loosing or limiting their own creative way to express themselves by that hollow variety. SPACIAL POEM started from this point. This is a new type of 'real-time visual interaction' expressing our own creative narrative as real-time visual by playing a musical instrument which is an emotional human behavior. Producing many kinds of sound by playing musical instruments is the same behavior with which we express our emotions through. There are sensors on each hole on the surface of the musical instrument. When you play it, sensors recognize that you have covered the holes. All sensors are connected to a keyboard, which means your playing behavior becomes a typing action on the keyboard. And I programmed the visual of your words to spread out in a virtual 3D space when you play the musical instrument. The behavior when you blow the instrument, to make sounds, changes into the energy that makes you walk ahead continuously in a virtual space. I used a microphone sensor for this. After all by playing musical instrument, we get back the emotion we forgot so far, and my voice is expressed with my own visual language in virtual space.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.15 no.1
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• pp.27-30
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• 2004

Background and Objectives : The purpose of the present study is to investigate the effect of vocal hygiene education for the female elementary school teachers. Materials and Method : Thirty healthy female elementary school teachers were enrolled for the study. We provided a vocal hygiene education to the half of them. Voice handicap index and acoustic parameters were measured before and 4 week after the education. The efficacy of vocal hygiene education was analyzed by Wilcoxon Signed-rank test. Results : The vocal hygiene group showed significant improvement both in the subjective and objective data after the education. However, the non-vocal hygiene group failed to show any improvement. In functional score, emotional score, jitter, shimmer, only Junior Class(JC) could find significant after the education. Only low career(LC) could find significant in subjective data. Conclusion : Vocal hygiene education may be useful in reducing vocal misuse and abuse associated with teaching, and can be an effective method to maintain and improve the vocal health of teachers.

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.95-102
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• 2019

This paper mainly studies two films created by Huo Jianqi, Nuan and Postman in the Mountains, and analyzes the aesthetic style of Huo Jianqi's local movies in three parts. The first part deals with the characteristics of Huo Jianqi's local movies and discusses the theme selection, theme performance, character creation and emotional expression of the film. The second part elaborates Huo Jianqi's film and television works from three aspects: picture language, voice language and color language, which further reflects Huo Jianqi's aesthetic style. The third part analyses the puzzlement in the development of local films and how to develop them. With its unique oriental aesthetics, unique perspectives, unique rural scenery and characteristics, Chinese local movies have become the most representative of the overall level and style of Chinese movies. Chinese local film is the reflection and care of Chinese local culture, showing strong regional local culture, regionality is its distinct feature. Since the reform and opening up, with the changes of the times and the renewal of film directors, local films have shown distinct characteristics of the times. Through the analysis of Huo Jianqi's aesthetic style of local movies, this paper hopes to provide some valuable reference and inspiration for the development of Chinese local movies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.6
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• pp.141-155
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• 2017

As the use of SNS becomes more active, many people are posting their thoughts about specific events in their SNS in the form of text. As a result, SNS is used in various fields such as finance and distribution to conduct service satisfaction surveys and consumer monitoring. However, in the transportation area, there are not enough cases to utilize unstructured data analysis such as emotional analysis. In this study, we developed an emotional analysis methodology that can be used in transportation by using highway VOC data, which is atypical data collected by Korea Expressway Corporation. The developed methodology consists of morpheme analysis, emotional dictionary construction, and emotional discrimination of the collected unstructured data. The developed methodology was verified using highway related tweet data. As a result of the analysis, it can be guessed that many information and information about the construction and the accident were related to the highway during the analysis period. Also, it seems that users complain about the delay caused by construction and accident.

• The Transactions of the Korea Information Processing Society
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• v.13 no.6
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• pp.284-290
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• 2024

Speech emotion recognition (SER) is a technique that is used to analyze the speaker's voice patterns, including vibration, intensity, and tone, to determine their emotional state. There has been an increase in interest in artificial intelligence (AI) techniques, which are now widely used in medicine, education, industry, and the military. Nevertheless, existing researchers have attained impressive results by utilizing acted-out speech from skilled actors in a controlled environment for various scenarios. In particular, there is a mismatch between acted and spontaneous speech since acted speech includes more explicit emotional expressions than spontaneous speech. For this reason, spontaneous speech-emotion recognition remains a challenging task. This paper aims to conduct emotion recognition and improve performance using spontaneous speech data. To this end, we implement deep learning-based speech emotion recognition using the VGG (Visual Geometry Group) after converting 1-dimensional audio signals into a 2-dimensional spectrogram image. The experimental evaluations are performed on the Korean spontaneous emotional speech database from AI-Hub, consisting of 7 emotions, i.e., joy, love, anger, fear, sadness, surprise, and neutral. As a result, we achieved an average accuracy of 83.5% and 73.0% for adults and young people using a time-frequency 2-dimension spectrogram, respectively. In conclusion, our findings demonstrated that the suggested framework outperformed current state-of-the-art techniques for spontaneous speech and showed a promising performance despite the difficulty in quantifying spontaneous speech emotional expression.

• Knowledge Management Research
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• v.21 no.1
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• pp.197-210
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• 2020

The smart speaker includes an AI assistant function in the existing portable speaker, which enables a person to give various commands using a voice and provides various offline services associated with control of a connected device. The speed of domestic distribution is also increasing, and the functions and linked services available through smart speakers are expanding to shopping and food orders. Through text mining-based customer review analysis, there have been many proposals for identifying the impact on customer attitudes, sentiment analysis, and product evaluation of product functions and attributes. Emotional investigation has been performed by extracting words corresponding to characteristics or features from product reviews and analyzing the impact on assessment. After obtaining the topic from the review, the effect on the evaluation was analyzed. And the market competition of similar products was visualized. Also, a study was conducted to analyze the reviews of smart speaker users through text mining and to identify the main attributes, emotional sensitivity analysis, and the effects of artificial intelligence attributes on product satisfaction. The purpose of this study is to collect blog posts about the user's experiences of smart speakers released in Korea and to analyze the attitudes of customers according to their attributes. Through this, customers' attitudes can be identified and visualized by each smart speaker product, and the positioning map of the product was derived based on customer recognition of smart speaker products by collecting the information identified by each property.

• Science of Emotion and Sensibility
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• v.16 no.1
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• pp.117-124
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• 2013

This study examined that how precisely MFCC, LPC, energy, and pitch related parameters of the speech data, which have been used mainly for voice recognition system could predict the vocal emotion categories as well as dimensions of vocal emotion. 110 college students participated in this experiment. For more realistic emotional response, we used well defined emotion-inducing stimuli. This study analyzed the relationship between the parameters of MFCC, LPC, energy, and pitch of the speech data and four emotional dimensions (valence, arousal, intensity, and potency). Because dimensional approach is more useful for realistic emotion classification. It results in the best vocal cue parameters for predicting each of dimensions by stepwise multiple regression analysis. Emotion categorizing accuracy analyzed by LDA is 62.7%, and four dimension regression models are statistically significant, p<.001. Consequently, this result showed the possibility that the parameters could also be applied to spontaneous vocal emotion recognition.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.2
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• pp.122-126
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• 2002

In this study, we find features of 3 emotions (Happiness, Angry, Surprise) as the fundamental research of emotion recognition. Speech signal with emotion has several elements. That is, voice quality, pitch, formant, speech speed, etc. Until now, most researchers have used the change of pitch or Short-time average power envelope or Mel based speech power coefficients. Of course, pitch is very efficient and informative feature. Thus we used it in this study. As pitch is very sensitive to a delicate emotion, it changes easily whenever a man is at different emotional state. Therefore, we can find the pitch is changed steeply or changed with gentle slope or not changed. And, this paper extracts formant features from speech signal with emotion. Each vowels show that each formant has similar position without big difference. Based on this fact, in the pleasure case, we extract features of laughter. And, with that, we separate laughing for easy work. Also, we find those far the angry and surprise.

• Journal of Physiology & Pathology in Korean Medicine
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• v.19 no.3
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• pp.605-611
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• 2005

Chronic fatigue refers to the tiredness which disturbs one's daily activities and lasts more than six months without the sign of improvement by rest or sleep. Male chronic fatigue is included in internal injuries due to overstrain and exhaustion and closely related to river, spleen, stomach and kidney out of five Jang organs. Male chronic fatigue is based on the deficiency of Yang and aggravated by liquor, sex and emotional depression. Chronic fatigue has the following features in Hyungsang ; an inclination for lying: unwillingness to everything; drooping eyes and feeble voice; yellow pale complexion; withered ears; redness on the tip of nose; cheekbone, and lips; blood shot eyes; dryness and loss of hair. Male chronic fatigue usually attacks the persons of horse type and bird type because they are hyperactive compared with what they eat. The following medicines are commonly prescribed for the treatment of male chronic fatigue. Ssangwhatang, Sokunzungtang, and Yanghyulsamultang are commonly prescribed to horse type. Jaumkangwhatang, Chungsimyunzaum, Yookmijiwhangtang to bird type. Palmiwhan, Gozinumja. and Shinkihwan to fish type. Bozungikkitang, Galwhahaesungtang, Samchulgunbitang and Sipjundaebotang to turtle type.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.510-519
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• 2022

This study aims to examine how delusions and hallucinations are expressed as representative symptoms of schizophrenia in the two films and . We look at how the two films show the appearance and overall image of the schizophrenic patient, the emotional expression of the schizophrenic patient, and how family and colleagues express the perceptions of the schizophrenic patient's symptoms. Finally, we will examine the perception of treatment measures for schizophrenia. Comprehensively, through this process, the schizophrenia symptoms expressed in the two films will have some effect on social perception of schizophrenia and the social implications of therapeutic intervention for schizophrenia recovery.