analyze-audio-quality-report

Audio-quality evaluation reports are diagnosed by mapping regressions in latency, STT accuracy, and voice quality to specific environmental conditions. This process evaluates metrics, transcripts, and trace data to pinpoint exact failure points across diverse voice scenarios.

Interruption failures during high background noise occur when STT models, prompt interruption logic, or VAD thresholds are misconfigured. Analyzing audio-quality telemetry isolates whether the regression originates in speech-to-text accuracy, agent prompt design, or voice activity detection settings.

Actionable fixes for STT and TTS configurations are generated by evaluating Coval telemetry data. The analysis produces evidence-backed recommendations targeting specific speech-to-text and text-to-speech adjustments needed to resolve identified performance regressions.

To analyze multi-scenario audio-quality test results, you must provide access to Coval evaluation data or exported report summaries. This input allows the diagnostic mapping process to evaluate metrics and trace data across various voice and environmental conditions.

The best way to fix agent prompt issues is using evidence-backed remediation generated from telemetry analysis. This approach maps transcript and trace data anomalies directly to targeted prompt adjustments, tool handling modifications, and configuration changes.