Andy Norman explains how modern AI voice agents handle UK regional accents, where they still struggle, and what to test before you go live.
Andy Norman from Antek Automation shares practical tips sourced from the blog post: How AI Voice Agents Handle Accents and Regional Dialects.
Modern AI voice models are trained on millions of hours of diverse accent data, so standard regional UK accents, Scottish, Bristol, Southampton, are recognised reliably when speech is clear and the environment is reasonably quiet.
The system still has limits: broad Scots dialect with non-standard vocabulary, heavy background noise from a van or a coffee shop, and strong non-native accents with significant phonetic deviation can all trip it up.
Before you go live, pilot on real call recordings.
Full blog post: https://blog.antekautomation.com/how-ai-voice-agents-handle-accents-and-regional-dialects/
Antek Automation: antekautomation.com
Call us: 0333 038 9960Modern AI voice models are trained on millions of hours of diverse accent data, so standard regional UK accents, Scottish, Bristol, Southampton, are recognised reliably when speech is clear and the environment is reasonably quiet. Tune the vocabulary to your domain and accuracy improves further.
The system still has limits: broad Scots dialect with non-standard vocabulary, heavy background noise from a van or a coffee shop, and strong non-native accents with significant phonetic deviation can all trip it up. Knowing these in advance means you can design around them.
Before you go live, pilot on real call recordings. Measure transcription accuracy and intent recognition across the full range of callers you actually receive. Set a threshold, and configure automatic transfer to a human whenever the AI confidence drops below it.
Produced by Antek Automation — AI automation for UK small businesses.