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콘포머 기반 FastSpeech2를 이용한 한국어 음식 주문 문장 음성합성기
최예린,장재후,구명완,Choi, Yerin,Jang, JaeHoo,Koo, Myoung-Wan 한국음향학회 2022 韓國音響學會誌 Vol.41 No.3
In this paper, we present the Korean menu-ordering Sentence Text-to-Speech (TTS) system using conformer-based FastSpeech2. Conformer is the convolution-augmented transformer, which was originally proposed in Speech Recognition. Combining two different structures, the Conformer extracts better local and global features. It comprises two half Feed Forward module at the front and the end, sandwiching the Multi-Head Self-Attention module and Convolution module. We introduce the Conformer in Korean TTS, as we know it works well in Korean Speech Recognition. For comparison between transformer-based TTS model and Conformer-based one, we train FastSpeech2 and Conformer-based FastSpeech2. We collected a phoneme-balanced data set and used this for training our models. This corpus comprises not only general conversation, but also menu-ordering conversation consisting mainly of loanwords. This data set is the solution to the current Korean TTS model's degradation in loanwords. As a result of generating a synthesized sound using ParallelWave Gan, the Conformer-based FastSpeech2 achieved superior performance of MOS 4.04. We confirm that the model performance improved when the same structure was changed from transformer to Conformer in the Korean TTS.
ChatGPT가 교육 및 학술연구 분야에 미치는 잠재적 영향: 국내외 연구동향 검토
주라헬 ( Rachel Ju ),최예린 ( Yerin Choi ),송지훈 ( Ji Hoon Song ),유명현 ( Myunghyun Yoo ) 한국교육공학회 2023 교육공학연구 Vol.39 No.0
This study investigated the evolving landscape of educational technology, with a focus on the rapid development of generative AI technologies, exemplified by ChatGPT. The objective is to discern challenges and chart future directions for education and academic research. Research trends were analyzed both in Korea and internationally, utilizing databases such as DBpia, Riss, Kyobo Book Centre, Google Books, Web of Science, and Scopus. The integrative review covered literature until August 26, 2023, yielding insights from 404 studies. Notably, research featuring ChatGPT as an author exhibited a notable surge, particularly in books. Additionally, studies concentrating on ChatGPT ’s application were predominant in engineering and social science, often employing quality assessment and case analysis methods. The study identifies opportunities in education, including facilitating lifelong learning, fostering interactive and personalized learning experiences, and alleviating instructors ’ burdens. However, it also highlights threats such as potential misconceptions, deepening educational disparities, and a decline in higher-order thinking skills. In academic research, opportunities encompass heightened research productivity, improved quality, streamlined paper reviews, and overall increased work efficiency. Conversely, threats include potential constraints on research originality, challenges to academic integrity, and risks of bias and discrimination. Based on these findings, practical implications were presented to overcome barriers and enhance the positive impact on education and academic research.