Accent and Dialect Bias
ASR Performs Significantly Worse on Non-Standard Accents
AI speech recognition failures — transcription errors and misheard voice commands
8 patterns
AI speech recognition failures — transcription errors and misheard voice commands. We've tracked 8 distinct AI Speech Recognition Failures patterns across production AI agent deployments — most commonly in Speech and Audio systems. One recurring example: Accent and Dialect Bias — ASR Performs Significantly Worse on Non-Standard Accents
Each pattern below documents the specific failure mode, why it happens, and how teams have mitigated it in practice — use this page as a reference when building guardrails, writing evals, or debugging an agent that's already misbehaving in this way.
ASR Performs Significantly Worse on Non-Standard Accents
ASR Fails to Recognize Industry-Specific Terms
ASR Misinterprets or Fails to Filter Conversational Fillers
ASR Selects Wrong Word Among Sound-Alike Options
ASR Confidence Scores Not Used Effectively
ASR Fails to Correctly Transcribe Personal and Business Names
ASR Incorrectly Transcribes Numbers, Dates, and Times
Real-Time Transcription Changes Mid-Utterance