Signals 4 · free daily AI digest

A Native-Reference Phone-Class Geometry for Second-Language Pronunciation Analysis

Paper recorded by Signals 4 on 2026-09-24 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-24 on arXiv · recorded by Signals 4 on 2026-09-25

Category: cs.CL · 自然语言处理 · first seen 2026-09-25

Abstract

Automatic speaking assessment systems can provide holistic proficiency scores, but often lack interpretable measures that characterize pronunciation quality. We propose a native-reference phone-class geometry for measuring second language (L2) pronunciation deviation without requiring pronunciation labels, read-aloud prompts, or matched recordings of the same text from native and L2 speakers. Give

Read on arXiv →

#11 most recent of 252 cs.CL papers we have recorded · ↑ newer: Return or Revise? Learning When Revision Helps Retrieval-Augmented QA · ↓ older: How Reproducible Are Evaluation Conclusions? A Self-Audit of LLM-Infer
Cite this page: A Native-Reference Phone-Class Geometry for Second-Language Pronunciation Analysis: the #11 most recent of 252 cs.CL papers we have recorded (as of 2026-09-24). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-native-reference-phone-class-geometry-for-second-language-pronunciation-analys.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions