Papers by Tan-Hanh Pham
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder (2025.acl-industry)
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Khai Le-Duc, Phuc Phan, Tan-Hanh Pham, Bach Phan Tat, Minh-Huong Ngo, Thanh Nguyen-Tang, Truong-Son Hy
| Challenge: | Multilingual automatic speech recognition (ASR) in the medical domain is a critical foundational task, serving a wide range of downstream applications such as speech translation, spoken language understanding, and voice-activated assistants. |
| Approach: | They present the first multilingual medical ASR dataset and the first collection of small-to-large end-to end medical APR models spanning five languages: Vietnamese, English, German, French, and Mandarin Chinese. |
| Outcome: | The proposed model covers Vietnamese, English, German, French, and Mandarin Chinese, and is the first multilingual ASR dataset across five languages. |
SilVar: Speech-Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization (2025.emnlp-main)
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| Challenge: | Visual Language Models have demonstrated remarkable capabilities across various tasks, including visual question answering and image captioning. |
| Approach: | They propose an end-to-end multimodal model that leverages speech instructions for reasoning-based visual question answering. |
| Outcome: | The proposed model can process and explain visual scenes from spoken input, moving beyond simple object recognition to reasoning-based interactions. |