Integrating TTS QA Into Your Generation Pipeline

If you're generating TTS files in a pipeline, adding automated QA is straightforward. The flow is: generate batch, submit to TTSAudit, check results, regenerate flagged files.

Step 1: After your TTS generation step produces audio files, collect the URLs.

Step 2: Submit the batch to the TTSAudit API. One POST request with the file URLs.

Step 3: Wait for analysis to complete. Use webhooks to get notified, or poll the job status endpoint.

Step 4: Check the results. Each file gets an anomaly score and a recommended action - approve or regenerate.

Step 5: Take the flagged files and re-run them through your TTS pipeline. The rest of your batch is ready to ship.

The API supports webhook callbacks, so your pipeline doesn't need to poll. When analysis completes, TTSAudit POSTs the results to your configured endpoint.

For CI/CD integration, treat the QA step like any other quality gate. If more than X% of files are flagged, block the deployment and trigger regeneration. If the batch passes, promote to production.

This approach catches anomalies before they reach users, automates the regeneration decision, and reduces the feedback loop from days to minutes.