posted on 2025-05-28, 08:38authored byRong TongRong Tong, Farhan Azmi, Xing Long He, Han Xiang Kee, Ying Zhen Lee, Wen Qin Yeo
This paper introduces an AI-powered system designed to revolutionize therapy for aphasia patients by enhancing accessibility and personalization. The solution integrates a mobile application for patients to perform word-retrieval tasks and a web dashboard for practitioners to monitor progress and tailor therapy. Key components include a fine-tuned Automatic Speech Recognition (ASR) model optimized for Singaporean aphasic speech and a Large Language Model (LLM)-driven cue generation framework based on hierarchical techniques used in speech therapy. The combination of these components forges a comprehensive tool for speech rehabilitation, demonstrating significant improvements in usability, transcription accuracy, and therapy outcomes.
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Journal/Conference/Book title
2025 10th International Workshop on Pattern Recognition