Accent and Dialect Bias
ASR Performs Significantly Worse on Non-Standard Accents
Voice AI failures — speech recognition, synthesis, and conversational-audio breakdowns
66 patterns
Voice AI failures — speech recognition, synthesis, and conversational-audio breakdowns. We've tracked 66 distinct Voice AI 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
Agent Claims It Will Perform Actions Beyond Its Capabilities
Agent Mishandles Questions About Being AI/Bot
TTS Produces Clicks, Pops, Distortion, or Other Audio Artifacts
Poor Audio Quality from Network or Device Issues
Agent's Acknowledgment Cues ("uh-huh", "right") Occur at Wrong Moments
ASR Accuracy Degrades Significantly in Noisy Environments
User Cannot Interrupt Agent's Speech
TTS Mispronounces Brand Names, Domain Terms, or Key Phrases
Agent Fails to Handle Mid-Call Disconnections Gracefully
Performance Varies Significantly Across Devices
Agent's Filler Words and Speech Disfluencies Don't Match Persona or Context
ASR Fails to Recognize Industry-Specific Terms
Agent's Own Audio Interferes with User Speech Detection
Agent Overuses Laughter, Exclamation Marks, and Emotional Cues
Voice Emotion Doesn't Match Message Content or Context
Agent Can't Reliably Detect When User Has Finished Speaking
ASR Misinterprets or Fails to Filter Conversational Fillers
Call Ends Awkwardly Without Natural Closure
Agent Pressures Hesitant Callers Instead of Providing Low-Friction Options
ASR Selects Wrong Word Among Sound-Alike Options
Agent Can Be Manipulated Into Adopting Different Personas or Revealing Prompt
Agent Waits Until All Fields Collected Before Saving Data
Similar Intents Misclassified Due to Overlapping Definitions
Agent Reveals Backend Operations, Routing Logic, or Internal Details
Agent Doesn't Properly Handle User Corrections and Interruptions
Agent Cannot Communicate Due to Unsupported or Incomprehensible Language
ASR Confidence Scores Not Used Effectively
Agent Delivers Long Feature Lists or Information Without Pausing for Engagement
Agent Asks for Multiple Data Fields in a Single Turn
Agent Can't Distinguish Between Multiple Speakers
Agent Loses Context Across Conversation Turns
Agent Fails to Match or Maintain Caller's Language Choice
ASR Fails to Correctly Transcribe Personal and Business Names
Long "Never Say X" Lists Inadvertently Prime the Model to Output Banned Content
ASR Incorrectly Transcribes Numbers, Dates, and Times
Agent Opening Doesn't Account for Caller's Greeting State
Call Outcomes Incorrectly Classified, Affecting Follow-up Actions
Agent Fails to Detect or Respond to Conversation-Stopping Signals
Agent Ends Call When Caller Pauses, Interrupts, or Shows Confusion
Oversized System Prompts Cause Dead Air Due to Time-to-First-Token Delays
TTS Mispronounces Words, Names, or Domain Terms
Speech Rhythm, Stress, and Intonation Don't Match Content
Agent Skips Required Steps or Asks Questions Out of Sequence
Agent Fails to React to Caller's Personal Comments or Emotional Cues
Agent Continues Planned Flow Instead of Adapting to Caller's Response
Agent Takes Too Long to Respond
Agent Answers Questions or Provides Information Outside Approved Knowledge
Agent Deviates from Required Phrases, Boundaries, or Conversation Structure
Agent Incorrectly Interprets Pauses and Silence
Critical Information Extracted Incorrectly or Inconsistently
Agent Goes Silent During Tool Execution Without Acknowledgment
Numbers, Dates, and Formatted Text Not Converted to Spoken Form
Speech Markup Not Processed Correctly
Real-Time Transcription Changes Mid-Utterance
System Prompts Designed for Text Chatbots Fail in Voice Conversations
Vague or Poor Tool Descriptions Cause Wrong Tool Calls or Bad Parameters
Agent and User Speak Over Each Other
Agent Makes Promises Outside Allowed Scope (No Spam, Follow-up Guarantees, Delivery Promises)
Agent Sounds Robotic, Scripted, or Inauthentically Enthusiastic
Agent Requests Personal Information Beyond What's Needed
Agent Uses Caller-Provided Information Without Verification
Agent Accepts Ambiguous or Passive Consent as Full Permission
Agent Produces Long Responses Despite Explicit Length Constraints
Voice Characteristics Change Unexpectedly During Conversation
Agent Fails to Detect or Handle When Call Reaches Unintended Recipient