arXiv cs.CL· Maggie Dong, Rohit Mekkoth, Zixuan Wang, Cheol Jun Cho, Jiachen Lian, Gopala Anumanchipalli·· 13 小时前AI 评分34
KIRA：面向儿童的双路径阅读筛查系统
KIRA: A Full-Stack Reading Screening System with Dual-Pathway Analysis for Children
AI 导读
KIRA 是一个面向儿童早期阅读筛查的双路径系统，将词级流利度评分与音素级错误检测结合，通过适配儿童语音的预训练词和音素识别器，把词错误率从 13.88% 降至 8.84%，音素错误率从 41.66% 降至 23.00%。
正文 · 原文
Abstract: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 evaluation metrics, or are proprietary systems that lack transparent model specifications and evaluation. We present KIRA, a dual-pathway screening system that pairs word-level fluency scoring with detailed phoneme-level error detection. We adapt pretrained word and phoneme recognizers to children's speech, reducing word error rate from 13.88% to 8.84% and phoneme error rate from 41.66% to 23.00%. Powered by these child-adapted models, we implement Word Reading (WRE) and Oral Reading Fluency (ORF), two foundational tasks in K-2 screening. The system integrates these recognizers with a web-based teacher-facing interface presenting fluency scores alongside phoneme feedback for potential targeted intervention. KIRA brings modern child-speech recognition into a full-stack, deployable, classroom-ready reading screener.
| Comments: | Accepted to IEEE Spoken Language Technology 2026 |
| Subjects: | Computation and Language (cs.CL); Machine Learning (cs.LG) |
| Cite as: | arXiv:2610.28840 [cs.CL] |
| (or arXiv:2610.28840v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.28840 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Maggie Dong [view email]
[v1]
Tue, 20 Oct 2026 19:10:45 UTC (579 KB)
来源：arXiv cs.CL · arxiv.org