{"id":23976,"date":"2024-10-14T13:48:05","date_gmt":"2024-10-14T06:48:05","guid":{"rendered":"https:\/\/doofydizee.com\/?p=23976"},"modified":"2024-10-16T08:09:36","modified_gmt":"2024-10-16T01:09:36","slug":"vku-students-with-outstanding-science-and-technology-products-at-the-6th-youth-creativity-festival-in-2024","status":"publish","type":"post","link":"https:\/\/doofydizee.com\/en\/vku-students-with-outstanding-science-and-technology-products-at-the-6th-youth-creativity-festival-in-2024\/","title":{"rendered":"VKU students with outstanding science and technology products at the 6th Youth Creativity Festival in 2024"},"content":{"rendered":"

On the morning of October 12, 2024, the 6th Youth Creativity Festival in 2024 with the theme “Digital Transformation – Innovative Startup Space” and the awarding of “Danang University\u2019s Student Scientific Research Awards in the 2023-2024 academic year” were organized by the University of Danang. This is a meaningful event to celebrate the 30th anniversary of the establishment and development of the University of Danang (1994-2024).<\/strong><\/p>\n

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Students participating in the 6th Youth Creativity Festival in 2024<\/em><\/p>\n

At the 2024 Festival, the Vietnam-Korea University of Information and Communication Technology (VKU), University of Danang, showcased 5 outstanding products derived from its students’ scientific and technological research projects.<\/p>\n

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The “Building and Developing a Model to Identify Mispronunciation in Vietnamese” project won the Third Prize at the “Danang University\u2019s Student Scientific Research Awards in the 2023-2024 academic year\u00a0<\/em><\/p>\n

With the “Building and Developing a Model to Identify Mispronunciation in Vietnamese” project, a student team consisting of Nguyen Ket Doan (20AD), Tran Nguyen Anh (21GIT), Vo Van Nam (21SE3), and Nguyen Tran Tien (20SE5) from the Faculty of Computer Science, under the guidance of Dr. Nguyen Huu Nhat Minh, focused on building a specialized dataset for Vietnamese mispronunciation. This dataset includes recordings from students across the three regions of Vietnam\u2014North, Central, and South\u2014featuring local accents collected via a dedicated data collection website and recordings of foreigners pronouncing Vietnamese using OpenAI TTS. Additionally, the team developed a model that uses audio and standard phonetic translation to accurately identify mispronunciations. By leveraging the embeddings from both the phoneme and language encoders, the model offers a robust solution for precise mispronunciation detection. The project secured the Third Prize at the Danang University\u2019s Student Scientific Research Awards 2023-2024 and has advanced to the Final Round of the Danang City-level Student Scientific Research Competition 2024.<\/p>\n

At the 6th Youth Creativity Festival in 2024, four groups of VKU students showcased a variety of projects, including:<\/p>\n