English(EN) Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systems

ASR系统在非英语母语者方面表现存在差距

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

一篇新发表在arXiv上的研究论文调查了自动语音识别（ASR）系统的性能差异，特别是对于母语与英语在语言学上距离较远的说话者。研究发现，这种语言距离与更高的ASR错误率之间存在统计学上的显著相关性。对模型潜在空间的进一步分析显示，存在基于说话者第一语言的区分，这表明ASR系统在不同语言背景下的泛化能力可能不尽相同。 AI

影响强调了ASR系统中潜在的偏见，表明需要开发更具语言公平性的模型。

排序理由该集群包含一篇详细阐述ASR系统实证分析和发现的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Ting-Hui Cheng, Line Katrine Harder Clemmensen, Sneha Das · 2026-09-01 04:00

语言距离区分自动语音识别系统中的潜在表征

arXiv:2608.30853v1 Announce Type: new Abstract: While automatic speech recognition (ASR) models have achieved remarkable improvements in recent years, performance disparities persist across different speaker populations. One such disparity is for speakers whose first languages (L…

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语言距离区分自动语音识别系统中的潜在表征

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