analyze-accent-report

Analyzing accent testing reports involves correlating STT word error rates, task completion metrics, and conversation flow data to identify whether speech recognition failures originate from specific accents or agent configuration issues.

Your agent may struggle with Indian or Malaysian accents due to suboptimal STT model settings, inadequate confirmation strategies, or tool handling issues, which require evidence-based diagnosis from evaluation transcripts to remediate.

Fix task completion regressions by processing Coval simulation transcripts to generate a prioritized remediation plan, providing specific testable recommendations for prompt adjustments, STT configuration, and tool handling.

Diagnosing accent-related regressions requires access to Coval evaluation data, specifically run IDs, simulation transcripts, or exported metric summaries containing STT word error rates and conversation flow metrics.

Yes, accent evaluation reports provide actionable remediation by correlating STT accuracy and call-shape metrics, enabling targeted and testable recommendations for prompt adjustments, STT configuration, and tool handling improvements.

Yes, analyzing accent testing requires Coval evaluation data, which can be provided as run IDs, simulation transcripts, or exported metric summaries to accurately evaluate speech recognition accuracy across diverse speaker personas.