Building a Voice AI agent? How do you evaluate its performance? Which metrics do you use—and more importantly—do they provide actionable insights?
Future AGI has introduced a breakthrough in AI-generated audio evaluation. Leveraging their advanced TURING models, you can now identify audio errors with timestamped, phrase-level accuracy. Quickly detect hallucinations, factual inaccuracies, and quality issues precisely where they occur (e.g., "0:12–0:15: hallucinated product return policy").
Key Capabilities:
Automated Phrase-level Detection: Find hallucinations and errors precisely.
Timestamped Localization: Instantly pinpoint issues.
Minimal Setup: Easier configuration than traditional tracing.
Enhanced Compliance: Streamline your voice AI workflow for critical applications.
Perfect for customer-service bots, voice assistants, and telephony systems.
👉 Run Your First Audio Eval- ping if you want the sdk link.
Top comments (0)