JCAPT: A Joint Modeling Approach for CAPT

• URL: http://arxiv.org/abs/2506.19315v2
• Date: Fri, 25 Jul 2025 09:26:59 GMT
• Title: JCAPT: A Joint Modeling Approach for CAPT
• Authors: Tzu-Hsuan Yang, Yue-Yang He, Berlin Chen,
• Abstract summary: This study is the first to combine phonological attribution, SSM-based modeling, and prompting in CAPT.<n>A series of experiments conducted on the speechocean762 benchmark demonstrate that our model consistently outperforms prior methods.
• Score: 4.1088673993841685
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Effective pronunciation feedback is critical in second language (L2) learning, for which computer-assisted pronunciation training (CAPT) systems often encompass two key tasks: automatic pronunciation assessment (APA) and mispronunciation detection and diagnosis (MDD). Recent work has shown that joint modeling of these two tasks can yield mutual benefits. Our unified framework leverages Mamba, a selective state space model (SSM), while integrating phonological features and think token strategies to jointly enhance interpretability and fine-grained temporal reasoning in APA and MDD. To our knowledge, this is the first study to combine phonological attribution, SSM-based modeling, and prompting in CAPT. A series of experiments conducted on the speechocean762 benchmark demonstrate that our model consistently outperforms prior methods, particularly on the MDD task.

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