Preprint
Code-Switching in End-to-End Automatic Speech Recognition: A Systematic Literature Review
Maha Tufail Agro et al., arXiv (accepted at LREC 2026), 2025 · DOI 10.48550/arXiv.2507.07741
Read the originalRead on October 16, 2026
- What it is
- A systematic review of research on recognizing speech that mixes languages, listing the language pairs, datasets and metrics studied and the open challenges.
- How much weight it carries
- A 2025 literature review that was accepted at a peer-reviewed conference. It describes the research, not the products you can buy.
Facts taken from this source
- 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.
“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” (Introduction)
Pages that rest on this source
- Dictation Languages: What Each App and Device SupportsGuide
- Hindi Voice Typing and Speech to TextGuide
- Multilingual Dictation: Two Languages, Auto-Detect, MixingGuide
- Transcribe and Translate Audio in Other LanguagesGuide
- Can speech to text handle Hinglish, Spanglish and other mixed languages?Question
- How can you dictate in a language your device does not support?Question
- Is speech recognition less accurate in languages other than English?Question
- Code-switchingGlossary