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# Can Voice Agents Handle Bilingual Customers? Benchmarking Frontier ASR on Code-Switched Speech

**[Hugging Face](https://daily.dev/sources/huggingface)** · 13 min read · 1 upvotes · 0 comments

## Summary

ServiceNow AI built a benchmark to evaluate how well frontier ASR systems handle code-switched speech (bilingual mid-sentence language switching) in enterprise voice agent settings. The benchmark covers four language pairs (Spanish-English, French-English, Canadian French-English, German-English) across HR and IT service scenarios, using 918 synthetic utterances. Seven ASR models were tested using WER, Semantic WER, and Answer Error Rate. ElevenLabs Scribe V2, Gemini 3 Flash, and AssemblyAI Universal 3-Pro emerged as top performers. Key findings: the number of language switches predicts whether errors occur, while Code-Mixing Index predicts error severity; errors concentrate on English embedded segments rather than matrix-language portions; and Whisper performs poorly due to defaulting to translation instead of transcription on code-switched audio. The benchmark and evaluation harness (AU-Harness) are released publicly.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/blog/ServiceNow-AI/code-switching>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#voice-ai](https://daily.dev/tags/voice-ai)

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