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MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder
Khai Le-Duc, Phuc Phan, Tan-Hanh Pham +5
Multilingual automatic speech recognition (ASR) in the medical domain serves as a foundational task for various downstream applications such as speech translation, spoken language…
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
Khai Le-Duc, Quy-Anh Dang, Tan-Hanh Pham +1
Knowledge graphs (KGs) enhance the performance of large language models (LLMs) and search engines by providing structured, interconnected data that improves reasoning and context-a…
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task
Khai Le-Duc, Ryan Zhang, Ngoc Son Nguyen +5
Vision-language models have been extensively explored across a wide range of tasks, achieving satisfactory performance; however, their application in medical imaging remains undere…
Sentiment Reasoning for Healthcare
Khai-Nguyen Nguyen, Khai Le-Duc, Bach Phan Tat +3
Transparency in AI healthcare decision-making is crucial. By incorporating rationales to explain reason for each predicted label, users could understand Large Language Models (LLMs…
Real-time Speech Summarization for Medical Conversations
Khai Le-Duc, Khai-Nguyen Nguyen, Long Vo-Dang +1
In doctor-patient conversations, identifying medically relevant information is crucial, posing the need for conversation summarization. In this work, we propose the first deployabl…
Medical Spoken Named Entity Recognition
Khai Le-Duc, David Thulke, Hung-Phong Tran +4
Spoken Named Entity Recognition (NER) aims to extract named entities from speech and categorise them into types like person, location, organization, etc. In this work, we present V…
VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain
Khai Le-Duc
Due to privacy restrictions, there's a shortage of publicly available speech recognition datasets in the medical domain. In this work, we present VietMed - a Vietnamese speech reco…