Fact · Languages and accents
A 2025 review of code-switching speech recognition found that a small subset of languages receive the most attention and that there is a large disparity in the languages covered by datasets.
Checked against its source on October 16, 2026
In the source's own words
“a small subset of languages receive the most attention, and while the number of datasets is growing, there is a large disparity in the lan- guages that are covered by the datasets”
Code-Switching in End-to-End Automatic Speech Recognition: A Systematic Literature Review, Maha Tufail Agro et al., arXiv (accepted at LREC 2026), 2025, Introduction.
Open the original (DOI 10.48550/arXiv.2507.07741)- What it measures
- The review catalogued papers on end-to-end recognition of speech that switches between languages.
- What it does not show
- A literature review of research systems, not a test of consumer dictation tools.
Source
Cited on
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