AI RESEARCH
Benchmarking Commercial ASR Systems on Code-Switching Speech: Arabic, Persian, and German
arXiv CS.AI
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ArXi:2605.19069v1 Announce Type: cross Code-switching -- the natural alternation between two languages within a single utterance -- represents one of the most challenging and under-studied conditions for automatic speech recognition (ASR). Existing commercial ASR benchmarks predominantly evaluate clean, monolingual audio and report a single Word Error Rate (WER) figure that tells practitioners little about real-world multilingual performance.