SOURCE-LINKED INTELLIGENCE
Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systems
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 (L1) are from families distant from English. This paper investigates the relationship between first language background and English ASR performance. Through empirical analysis, we observe that the correlation between speakers' L1 distance and ASR error rates yields a systematic effect on English Speech, with its strength varying across datasets and models. This associ
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T14:16:21.000Z
First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.