Many detection systems focus primarily on artifacts introduced during speech generation. As synthesis continues to improve, those artifacts can become less consistent.
Evaluates characteristics commonly found in natural human speech alongside broader acoustic patterns. The goal is to estimate whether a recording is more consistent with a human speaker or synthetic generation.
Synthetic speech continues to evolve rapidly. Detection systems should be evaluated against a broad range of modern speech generation methods and real-world recording conditions.
Testing includes recordings captured under a variety of communication environments, including compressed meeting audio and noisy recordings representative of everyday use.
| Test category | Coverage Status |
|---|---|
| Commercial voice cloning systems | Continuously tested |
| Open-source speech generators | Continuously tested |
| Emerging synthetic speech models | Monitored & mapped |
| Meeting compressed audio | Included in evaluation |
High-quality synthetic speech is becoming increasingly difficult to distinguish by listening alone. Organizations need additional signals to help evaluate the authenticity of remote conversations.
PulmoForge is developing technology to support identity verification during voice communications by providing an additional layer of analysis alongside existing security measures.
We're working with a small group of teams early at no cost. Schedule a short demonstration to see how the detector analyzes recorded audio and meeting-quality speech.