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cs.CL2026

KIRA: A Full-Stack Reading Screening System with Dual-Pathway Analysis for Children

Maggie Dong, Rohit Mekkoth, Zixuan Wang +3

Early-grade reading screening is critical for identifying children at risk of reading difficulty. Existing AI-based screeners are often limited in the scope of their analyses and e…

eess.AS2026

HASS: Hierarchical Simulation of Logopenic Aphasic Speech for Scalable PPA Detection

Harrison Li, Kevin Wang, Cheol Jun Cho +13

Building a diagnosis model for primary progressive aphasia (PPA) has been challenging due to the data scarcity. Collecting clinical data at scale is limited by the high vulnerabili…

eess.AS2026

Self-Supervised Speech Models Encode Phonetic Context via Position-dependent Orthogonal Subspaces

Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho +2

Transformer-based self-supervised speech models (S3Ms) are often described as contextualized, yet what this entails remains unclear. Here, we focus on how a single frame-level S3M…

eess.AS2026

HuPER: A Human-Inspired Framework for Phonetic Perception

Chenxu Guo, Jiachen Lian, Yisi Liu +9

We propose HuPER, a human-inspired framework that models phonetic perception as adaptive inference over acoustic-phonetics evidence and linguistic knowledge. With only 100 hours of…

eess.AS2026

[b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic

Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho +2

Self-supervised speech models (S3Ms) are known to encode rich phonetic information, yet how this information is structured remains underexplored. We conduct a comprehensive study a…