• Phonetics and Speech Sciences
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• v.15 no.4
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• pp.27-34
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• 2023

This study aimed to provide knowledge helpful for understanding voice problems related to occupations in the clinical field through an investigation and comparison of subjective vocal symptoms of 12 professional actors and 12 speech-language pathologists Among the 11 symptoms, "Difficulty with high pitch when singing," "Hypertension in the neck when speaking," and "Feel voice fatigue" were the most frequent symptoms in both groups. Additionally, the professional voice users reported a higher frequency of "Difficulty with high pitch when singing" (p=.049), "Hoarse voice" (p=.021), "Difficulty (requiring effort) when speaking" (p=.032), "Pain in the neck when speaking" (p=.009), and "Feel vocal fatigue" (p=.018) than the elite vocal performer group. This may be due to the different voice-related environments and differences in voice demands during occupational activities between the two groups.

• Phonetics and Speech Sciences
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• v.3 no.2
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• pp.79-87
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• 2011

Recently, usability has become very important in voice user interface systems. In this paper, we have designed and implemented a wizard-of-oz (WOZ) usability testing tool for command-and-control voice user interfaces. We have proposed the VUIDML (Voice User Interface Design Markup Language) to design the usability test scenario of command-and-control voice interfaces in the early design stages. For highly satisfactory voice user interfaces, we have to select highly preferred voice commands and prompts. In VUIDML, we can specify possible prompt candidates. The WOZ usability testing tool can also be used to collect user-preferred voice commands and feedback from real users.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.32.3-32
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• 2001

This paper proposes a layered protocol to interpret voice commands of the user´s own language to a machine, to control it in real time. The layers consist of speech signal capturing layer, lexical analysis layer, interpretation layer and finally activation layer, where each layer tries to mimic the human counterparts in command following. The contents of a continuous voice command are captured by using Hidden Markov Model based speech recognizer. Then the concepts of Artificial Neural Network are devised to classify the contents of the recognized voice command ...

• Phonetics and Speech Sciences
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• v.5 no.3
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• pp.83-93
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• 2013

Vocal hygiene education is an indirect training approach to improve vocal function by educating all facets of optimal vocal health. Satisfaction levels of participants might be an important component of this indirect therapy for voice disorders. The authors aimed to investigate the satisfaction levels of vocal hygiene education in 51 patients with voice problems. We classified voice disorders of the participants according to three etiological categories (subgroups): organic, neurogenic, and functional. The survey consisted of three parts: 1) a condition of vocal hygiene education, 2) a degree of satisfaction of the present education, and 3) a request for future education. Participants responded to each item of the survey using a five-point Likert scale of 1 to 5 (1 being not at all and 5 being extremely). They also wrote down personal comments of improvement. Participants scored the vocal hygiene education offered by the speech-language pathologists between '3' and '4'. Specifically, the participants were highly satisfied with the specific and comprehensible explanation/instruction given by their speech-language pathologists. However, they were less satisfied with the tuition fee for the therapy sessions. Vocal hygiene education is offered individually to people in a clinical setting. Our results support the notion that vocal hygiene education can be an integral aspect of the treatment of voice problems in most cases.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.28 no.1
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• pp.5-10
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• 2017

The anatomy of the voice is not limited to the region of the larynx. Practically all body systems affect the voice. The larynx receives the greatest attention because it is the most sensitive and expressive component of the vocal mechanism, but anatomic interactions throughout the singer's body must be considered in making the singing voice. The physiology of voice production is exceedingly complex. The voice requires interactions among the power source, the oscillator, and the resonator. The review of functional anatomy and physiology in vocal technique would provide information on the terminology, components, and workings of the voice to permit an understanding of practical, every clinical problems and their solutions. The otolaryngologist, speech language pathologist, singing or acting teacher, singer, and actor would have benefit greatly from more extensive study of voice science.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.9
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• pp.1210-1215
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• 2018

Recently, as the IoT(Internet of Things) and AI(Artificial Intelligence) technologies have developed, smart toys that can understand and act on the language of human beings are being studied. In this paper, we study voice learning using CNN(Convolutional Neural Network) by applying artificial intelligence based voice secretary technology to smart toy. When a human voice command gives, Smart Toy recognizes human voice, converts it into text, analyzes the morpheme, and conducts tagging and voice learning. As a result of test for the simulator program implemented using Python, no malfunction occurred in a single command. And satisfactory results were obtained within the selected simulation condition range.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.225-236
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• 2013

The voice recognition has been made continuously. Now, this technology could support even natural language beyond recognition of isolated words. Interests for the voice recognition was boosting after the Siri, I-phone based voice recognition software, was presented in 2010. There are some occasions implemented voice enabled services using Korean voice recognition softwares, but their accuracy isn't accurate enough, because of background noise and lack of control on voice related features. In this paper, we propose a sort of multi-purpose preprocessor to improve this situation. This supports Keyword spotting in the continuous speech in addition to noise filtering function. This should be independent of any voice recognition software and it can extend its functionality to support continuous speech by additionally identifying the pre-predicate and the post-predicate in relative to the spotted keyword. We get validation about noise filter effectiveness, keyword recognition rate, continuous speech recognition rate by experiments.

• Journal of Korean language education
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• v.28 no.4
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• pp.121-147
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• 2017

This study shows the current management status and the results of B University's multicultural creative-HR team's voice training supporters' preparation course that is part of the local funding project at the university. For this, the concept of voice training and educational contents of the multicultural members are first extracted from several documents. Then, a description of the management case of B University's voice training supporters' education course is given regarding the goals, operator of management, propulsion progress, and contents of previous education. For analyzing the management results of this work, in-depth interviews with the supporters and a half-structured survey are conducted with the voice academy main instructors. Moreover, reports of the work results, work journals of supporters and etc. are used for analyzing the results. According to the results of this analysis, the aspect of education, previous education contents, and teaching practicum are not organically connected. A more detailed curriculum about the comprehension ability of practical affairs is needed for managing a classroom. In aspect of management, the preparatory stage of voice training course and the practice stage were not linked, and thus, more cooperation is required with the main instructors. Although the results are limited, the voice training of the supporters' training course has its implications. First, the education of Korean pronunciation and intonation are provided for the supporters, thereby being able to facilitate learner-centered education. Second, it demonstrates in an empirical case that a class can be administered by specializing in Korean pronunciation and intonation. At last, it can provide a chance to practice teaching and offer field experience for students who have a Korean education major.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4849-4865
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• 2020

The traditional roles of leaders are to influence members and motivate them to achieve shared goals in organizations. However, leaders such as top managers and chief executive officers, in practice, do not always directly meet or influence other company members. In fact, they tend to have the greatest impact on their members through formal speeches, company procedures, and the like. As such, official speech is directly related to the motivation of company employees. In an official speech, not only the contents of the speech, but also the voice characteristics of the speaker have an important influence on listeners, as the different vocal characteristics of a person can have different effects on the listener. Therefore, according to the voice characteristics of a leader, the cognition of the members may change, and, the degree to which the members are influenced and motivated will be different. This study identifies how members may perceive a speech differently according to the different voice characteristics of leaders in formal speeches. Further, different perceptions about voices will influence members' cognition of the leader, for example, in how trustworthy they appear. The study analyzed recorded speeches of leaders, and extracted features of their speaking style through digital speech signal analysis. Then, parameters were extracted and analyzed by the time domain, frequency domain, and spectrogram domain methods. We also analyzed the parameters for use in Natural Language Processing. We investigated which leader's voice characteristics had more influence on members or were more effective on them. A person's voice characteristics can be changed. Therefore, leaders who seek to influence members in formal speeches should have effective voice characteristics to motivate followers.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.10
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• pp.437-446
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• 2022

Text classification task from Natural Language Processing (NLP) combined with state-of-the-art (SOTA) Machine Learning (ML) and Deep Learning (DL) algorithms as the core engine is widely used to detect and classify voice phishing call transcripts. While numerous studies on the classification of voice phishing call transcripts are being conducted and demonstrated good performances, with the increase of non-face-to-face financial transactions, there is still the need for improvement using the latest NLP technologies. This paper conducts a benchmarking of Korean voice phishing detection performances of the pre-trained Korean language model KoBERT, against multiple other SOTA algorithms based on the classification of related transcripts from the labeled Korean voice phishing dataset called KorCCVi. The results of the experiments reveal that the classification accuracy on a test set of the KoBERT model outperforms the performances of all other models with an accuracy score of 99.60%.