Published in 20th IEEE International Joint Symposium on Artificial Intelligence and Natural Language Processing, 2025
Recommended citation: Ye Bhone Lin, Thura Aung, Ye Kyaw Thu, and Thazin Myint Oo. (2025). "ASR Error Correction in Low-Resource Burmese with Alignment-Enhanced Transformers using Phonetic Features."
Download Paper
Published in Under Review, 2025
Recommended citation: Ye Kyaw Thu, Thura Aung, Ye Bhone Lin, Min Thiha Tun, Htet Arkar, Myat Oo Swe, Thet Htet San, Thazin Myint Oo, and Thepchai Supnithi. (2025). "myMedi-Whisper: Construction of Burmese Medical Speech Corpus and Whisper Fine-Tuning for Clinical Dialogue ASR."
Published:
Delivered a session on how AI is shaping future careers, including required skills, learning paths, and opportunities in the AI-driven world.
Published:
Moderated a panel discussion on AI, leadership, and future career paths, engaging with youth participants and industry perspectives.
Published:
Served as an AI trainer, mentoring youth participants and teaching practical AI skills to support innovation and entrepreneurship.
Published:
Conducted a series of AI webinars covering fundamental to intermediate topics, helping learners understand practical AI applications and tools.
Published:
Explored the future direction of Artificial Intelligence, including emerging trends, industry impact, and opportunities for developers and entrepreneurs.
Published:
Presented an introduction to AI agents, explaining how they function, their architecture, and how they can be applied in real-world systems such as chatbots and automation pipelines.
Published:
Delivered a technical talk on Gemma, focusing on lightweight large language models, efficient deployment, and practical AI applications in resource-constrained environments.
Machine Learning Foundation course, Grace Analytics, 2024
Educate participants in real-time Machine Learning algorithm development, promoting hands-on experience and understanding of core concepts of Machine Learning.