• Journal of the Korea Society of Computer and Information
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• v.17 no.9
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• pp.75-84
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• 2012

HMM-based Text-to-Speech systems generally utilize context dependent tri-phone units from a large corpus speech DB to enhance the synthetic speech. To downsize a large corpus speech DB, acoustically similar tri-phone units are clustered based on the decision tree using context dependent information. Context dependent information includes phoneme sequence as well as prosodic information because the naturalness of synthetic speech highly depends on the prosody such as pause, intonation pattern, and segmental duration. However, if the prosodic information was complicated, many context dependent phonemes would have no examples in the training data, and clustering would provide a smoothed feature which will generate unnatural synthetic speech. In this paper, instead of complicate prosodic information we propose a simple three prosodic boundary types and decision tree questions that use rising tone, falling tone, and monotonic tone to improve naturalness. Experimental results show that our proposed method can improve naturalness of a HMM-based Korean TTS and get high MOS in the perception test.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.7
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• pp.219-226
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• 2015

In this paper, we study the inquisitive tendency in informatics textbooks for middle school students. These textbooks were written in 2009, and have been adopted in 2013 as part of the curriculum. The research is based on six textbooks, which passed qualification tests, and is mainly focused on the section 'composition and movement of information equipment', which covers contents for the student's major field of study. Romey analysis was employed to analyze inquisitive tendency in four sections - text, data, activity and evaluation. The results illustrated that some textbooks were organized in a way that exhibited a low level of inquisitive tendency for students, and took an authoritative tone. The section 'activity' showed the highest level of inquisitive tendency and the 'text' showed the lowest level. Some sections in the textbooks were found to have zero Romey measures, which stress the need for improvement.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.285-290
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• 2020

This study focus on improving the text language proficiency regarding users' written text. In order to tone up accuracy improvement in writing, Computer Assisted Language Learning(CALL) can be primarily used as one of the most efficient tools. This study proposes a English Grammar Checking Application that can improve the accuracy over the current applications. The proposed system is capable of defining the difference between a Noun and a Noun Phrase which is critical in improving grammar accuracy for those who use Englilsh as a foreign language in English writing.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.485-494
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• 2013

In this paper, both content analysis and Romey analysis were employed to analyze 'Basic Information Technology' textbooks in technical high schools. Not only was the content analysis employed to study the organization and contents of the textbooks, but also the Romey analysis was applied so as to determine inquisitive tendency on four factors - text, data, activity and evaluation. The results from content analysis showed that the total number of pages, reading material, the number of concepts introduced in each section, and the use of application software demonstrated a discrepancy among textbooks. Also, Romey analysis showed that while the section 'text' was written with relatively low inquiry tendency for its authoritative tone, two textbooks showed high inquisitive tendency for section 'activity'. Finally, based on the obtained results, the ways to improve 'Basic Information Technology' textbooks were proposed.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.8-17
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• 2019

The main purpose of this study isto explore the potential of affective computing (AC) platforms in education through two phases ofresearch: Phase I - platform analysis and Phase II - classification of academic emotions. In Phase I, the results indicate that the existing affective analysis platforms can be largely classified into four types according to the emotion detecting methods: (a) facial expression-based platforms, (b) biometric-based platforms, (c) text/verbal tone-based platforms, and (c) mixed methods platforms. In Phase II, we conducted an in-depth analysis of the emotional experience that a learner encounters in online video-based learning in order to establish the basis for a new classification system of online learner's emotions. Overall, positive emotions were shown more frequently and longer than negative emotions. We categorized positive emotions into three groups based on the facial expression data: (a) confidence; (b) excitement, enjoyment, and pleasure; and (c) aspiration, enthusiasm, and expectation. The same method was used to categorize negative emotions into four groups: (a) fear and anxiety, (b) embarrassment and shame, (c) frustration and alienation, and (d) boredom. Drawn from the results, we proposed a new classification scheme that can be used to measure and analyze how learners in online learning environments experience various positive and negative emotions with the indicators of facial expressions.

• Journal of English Language & Literature
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• v.55 no.3
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• pp.441-458
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• 2009

The Imperial Road is Jean Rhys s unfinished manuscript, rejected by publishers for its openly racist tone. Although it describes Rhys s actual visit to Dominica in 1936, it is not a transparent recollection of the travel but a recreation informed by racial dynamics of the 1970s when she wrote the text. This paper examines the manuscript as a troubled (and troubling) response to what Rhys perceived as racial rejection from Dominica at the wake of political independence. Rhys s representation of white Creole womanhood significantly depends on an interwoven configuration of racial dynamics and sexual politics, where an oppressive white European man facilitates a white Creole woman s cross-racial identification with Afro-Caribbeans. However, the political and literary landscape of the West Indies in the 1970s made such cross-racial identification untenable. As a result, The Imperial Road is full of disturbing racial hatred, prejudice, and resentment. And yet, it also reflects Rhys s honest and serious concern over a white Creole s racial identity in postcolonial Dominica, raising a difficult question: How would a postcolonial age change a white Creole identity that belongs neither to the colonized nor to the colonizer (or both)? In The Imperial Road, unable to identify with Afro-Caribbeans, the white Creole is disoriented in time and space, lost at home, stuck between the past and the present, not knowing how to participate in a postcolonial homeland. Through the narrator s racial disorientation, The Imperial Road exposes the white Creole s fundamental dependence on other Creoles.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.282-297
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• 2023

One of the emerging trends in the marketing field is digital video marketing. Online videos offer rich content typically containing more information than any other type of content (e.g., audible or textual content). Accordingly, previous researchers have examined factors influencing videos' popularity. However, few studies have examined what causes a video to remain popular. Some videos achieve continuous, ongoing popularity, while others fade out quickly. For practitioners, videos at the recommendation slots may serve as strong communication channels, as many potential consumers are exposed to such videos. So,this study will provide practitioners important advice regarding how to choose videos that will survive as long-lasting favorites, allowing them to advertise in a cost-effective manner. Using deep learning techniques, this study extracts text from videos and measured the videos' tones, including factual and emotional tones. Additionally, we measure the aesthetic score by analyzing the thumbnail images in the data. We then empirically show that the cognitive features of a video, such as the tone of a message and the aesthetic assessment of a thumbnail image, play an important role in determining videos' long-term popularity. We believe that this is the first study of its kind to examine new factors that aid in ensuring a video remains popular using both deep learning and econometric methodologies.

• 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.

• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.83-93
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• 2021

The purpose of this study was to develop a personalized SMT (smart monitor target) game interface for game users who enjoy airsoft sports as individual purchases of SMT have increased since the advent of the untouched era. For this study, the UX (user experience) of the game interface was designed based on previous research. In particular, the personalized game service was reinforced by adding the CP (command post) of the SMT system that performs the home function of the console game, which was intended to help the user maintain immersed in the game in the personalized space of the SMT. Major design elements for the SMT game interface included layout, color, graphics, buttons, and text, and the interface design was proceeded based on them. After composing a grid with a layout in which the tab function was applied to the interface with a vertical three-segment structure and the outer margin value secured, the military camouflage pattern and texture were applied to the colored tone to perform graphics work. Targets and thumbnails were produced as illustrations using experts to ensure the consistency of the interface, and then function buttons and texts on each page were used concisely for intuitive information delivery. The design sources organized in this way were developed using the Unity engine. In the future, we hope that game user-centered personalized interfaces will continue to develop and provide differentiated services unique to SMT systems in the airsoft gun market.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.220-229
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• 2011

The present research integrates the core aspects of anger with the theory of planned behavior to investigate factors influencing online activism in a Web site. This study conducted online survey, and the sample was members who joined the V4400 Sobi-ja-heem Web site. The Web site Sobi-ja-heem was initiated by a consumer who was irritated at the cell phone manufacturer Samsung Inc. because its model, "Anycall" had major product defects such as the malfunction of the camcorder, poor tone quality, fuzziness of the screen, and broken text messages. The findings suggests that adding anger in Theory of Planned Behavior (TPB) enhances the explanatory power of the theory in predicting an intention to participate in activities to correct the issue, which indicates the possibility of combining emotion and the TPB in the prediction of online activism.