arXiv cs.CL· Richard Rose (Hankuk University of Foreign Studies)·· 14 小时前AI 评分31
在消费级 PC 上评估 L2 英语口语：XLS-R、XEUS 与 PhoneticXeus 的准确度、流利度与韵律表现
Expert L2 English Speech Evaluation on a Gaming PC: Accuracy, Fluency, and Prosody with XLS-R, XEUS, and PhoneticXeus
AI 导读
oollim 是一个可在消费级电脑本地运行的 L2 英语发音准确度、流利度与韵律评估系统，结合预训练 XLS-R、XEUS、PhoneticXeus 表征与参考文本特征，并用 SpeechOcean762、韩国学习者 L2 英语语料库、J-AESOP 及其组合训练 ridge 回归。
正文 · 原文
Authors:Richard Rose (Hankuk University of Foreign Studies)
Abstract:oollim is a locally executable system for evaluating L2 English pronunciation accuracy, fluency, and prosody on a consumer computer. The system combines pretrained XLS-R, XEUS, and PhoneticXeus representations with reference-text features and ridge regressions trained on SpeechOcean762, the Korean Learners' L2 Speech Corpus (English), J-AESOP, and their combinations. On 305 independently held-out recordings assessed by three expert raters, several ridge configurations substantially outperform archival Microsoft Azure Pronunciation Assessment API data in both Spearman correlation and quadratic weighted kappa across all three constructs. These results support expert speech evaluation on consumer hardware using pretrained representations and construct-specific regressions, without neural-model fine-tuning or calibration on the private evaluation data.
| Comments: | 19 pages, including appendices. Code and trained weights: this https URL |
| Subjects: | Computation and Language (cs.CL); Sound (cs.SD) |
| Cite as: | arXiv:2610.26406 [cs.CL] |
| (or arXiv:2610.26406v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.26406 arXiv-issued DOI via DataCite |
Submission history
From: Richard Rose [view email]
[v1]
Mon, 19 Oct 2026 13:44:26 UTC (22 KB)
[v2]
Mon, 26 Oct 2026 05:25:15 UTC (29 KB)
来源：arXiv cs.CL · arxiv.org