• 한국콘텐츠학회논문지
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• 제9권12호
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• pp.448-458
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• 2009

이 연구에서는 문자를 해득한 뇌성마비 학생들의 언어능력에 적절한 의사소통 도구를 구현할 목적으로 말소리 산출 도구(speech generation device: SGD) 프로그램을 제안하였다. 이 연구에서 제안하는 SGD 프로그램은 학습 도구로써의 기능과 의사표현을 위한 수단을 동시에 만족시킬 수 있는 프로그램으로 현재까지의 AAC 도구 사용 목적과 적용이 의사소통 보조기기의 고유한 기능에 한정되어 있었던 것과는 차별화된다. 또한, SGD 프로그램을 기반으로 시스템에서 제공하는 데이터를 분석하여 뇌성마비 학생의 언어 능력을 측정해 볼 수 있으며, 이를 근거로 언어지도 목표를 설정하고 학습 콘텐츠를 수정하여 제공할 수 있도록 구현하였다. 기존의 관련 소프트웨어와 비교해 볼 때, 이 연구에서 구현된 SGD는 인위적 스크립트 상황이 아닌 실제 교수 학습 상황에서 SGD를 통해 제공되는 학습 콘텐츠를 활용하여 보완 대체의사소통(augmentative and alternative communication)을 사용하는 뇌성마비 학생들에게 총체적 언어 지도가 가능하도록 구현하였다는 점에서 의의가 있다.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.25-30
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• 2024

Various new technologies and aiding instruments are always being introduced for the betterment of the challenged. This project focuses on aiding the mute in expressing their views and ideas in a much efficient and effective manner thereby creating their own place in this world. The proposed system focuses on using various gestures traced into texts which could in turn be transformed into speech. The gesture identification and mapping is performed by the Kinect device, which is found to cost effective and reliable. A suitable text to speech convertor is used to translate the texts generated from Kinect into a speech. The proposed system though cannot be applied to man-to-man conversation owing to the hardware complexities, but could find itself very much of use under addressing environments such as auditoriums, classrooms, etc

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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• pp.743-746
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• 2004

This study is generally purposed to develop a mobile augmentative and alternative communication system (hereinafter referred to as 'a mobile AAC system'). Also the device is aimed as a mobile AAC system for helping communication of persons who suffer from speech disorders in a free and convenient manner. One thing firstly considered for a successful AAC system is selection of vocabularies. For this purpose, the above researchers collected utterances in actual situations to select vocabularies of higher frequencies. For generation of sentences by maximizing the use of limited space in the AAC system, this study specifically presents a method of predicting predictions. This method includes selecting vocabulary and classifying it by domains so as to meet the characteristics of the mobile AAC communication, using a noun thesaurus for semantic analysis, and building a sub-category dictionary. Predicting predicates by selecting symbols in accordance with this method is tested and the utility thereof is confirmed.

• 정보처리학회논문지B
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• 제11B권1호
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• pp.99-106
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• 2004

음절 복원은 음성 인식 장치에서 인식된 음가열을 발성 이전의 표기 형태로 복원하는 과정이다. 본 논문에서는 음절 복원 과정을 위하여 표준 발음법을 기반으로 음절 복원 규칙을 작성하였다. 음절 복원 규칙을 이용하여 표기 후보 집합의 생성 방법을 연구하였다. 또한 생성된 표기후보의 수를 감소시키기 위하여, 비 표기 음절을 포함한 표기 후보 감소, 비 어휘 음절을 포함한 표기 후보 감소, 비어간 음절을 포함한 표기 후보 감소의 3단계 감소 과정을 제안하였다. 제안된 방법을 통하여 실험한 결과 평균 74%의 표기 후보 감소율을 나타내었다.

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.15-24
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• 2023

One of the objectives and aspirations of scientists and engineers ever since the development of computers has been to interact naturally with machines. Hence features of artificial intelligence (AI) like natural language processing and natural language generation were developed. The field of AI that is thought to be expanding the fastest is interactive conversational systems. Numerous businesses have created various Virtual Personal Assistants (VPAs) using these technologies, including Apple's Siri, Amazon's Alexa, and Google Assistant, among others. Even though many chatbots have been introduced through the years to diagnose or treat psychological disorders, we are yet to have a user-friendly chatbot available. A smart generative cognitive behavioral therapy with spoken dialogue systems support was then developed using a model Persona Perception (P2) bot with Generative Pre-trained Transformer-2 (GPT-2). The model was then implemented using modern technologies in VPAs like voice recognition, Natural Language Understanding (NLU), and text-to-speech. This system is a magnificent device to help with voice-based systems because it can have therapeutic discussions with the users utilizing text and vocal interactive user experience.

• 센서학회지
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• 제21권2호
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• pp.144-150
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• 2012

A microphone for fully implantable hearing device was generally implanted under the skin of the temporal bone. So, the implanted microphone's characteristics can be affected by the accompanying noise due to masticatory movement. In this paper, the implantable microphone with 2-channels structure was designed for reduction of the generated noise signal by masticatory movement. And an experimental model for generation of the noise by masticatory movement was developed with considering the characteristics of human temporal bone and skin. Using the model, the speech signal by a speaker and the artificial noise by a vibrator were supplied simultaneously into the experimental model, the electrical signals were measured at the proposed microphone. The collected signals were processed using a general adaptive filter with least mean square(LMS) algorithm. To confirm performance of the proposed methods, the correlation coefficient and the signal to noise ratio(SNR) before and after the signal processing were calculated. Finally, the results were compared each other.