Mind the Accent Gap: British Accent Robustness in Speech-Driven Financial Voice Assistants
AI voice assistants often use Automatic Speech Recognition (ASR) with LLM-based reasoning, yet existing systems struggle with regional British accents, including Scottish, Irish, and Welsh accents, since most ASR models are trained predominantly on American English voice data. Consequently, errors can carry through to the LLM stage, corrupting tool-call arguments and producing wrong or missing responses, which is especially costly in finance. Deployable ASR must also meet tight latency and memory budgets, making an accent-robust model choice even harder. We introduce CavaBench, the first internally collected benchmark of spoken financial queries, and use it to evaluate a range of ASR mode...
| Authors | Aadam Haq, Oggi Rudovic, Malcolm Chadwick et al. |
|---|---|
| Primary category | cs.SD |
| Published | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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