Author

Bi-Cheng Yan

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#natural language process... Preprint Oct 2026

OpenPA: Forced-alignment-free Multi-granular Pronunciation Assessment with Mixed-transcript Adaptation

Recent advances in automatic pronunciation assessment (APA) have driven a shift from scripted to free-form assessment. However, existing methods often rely on multi-stage pipelines with forced alignment and separate feature extractors, limiting their practicality across response settings. In light of this, we propose O...

Fu-An Chao, Bi-Cheng Yan, Berlin Chen · 0 citations

Jun 2026

LOPA: Enhancing Spoken Language Assessment via Latent Ordinal Prototype Alignment

This paper works around the necessity of large-scale MLLMs by introducing Latent Ordinal Prototype Alignment (LOPA) for SLA, a prototype-based regularizer that enforces an ordinal geometric prior directly on the latent space.

Hong-Yun Lin, Fu-An Chao, Bi-Cheng Yan et al. · arXiv.org · 0 citations