Inference playground
Synthetic-speech analysis · calibrated flagship (12.91% ITW) + two-model fusion (9.97% CV)
- 1Load target
- Run detection
- Review verdict
Point the detector at a suspect clip — drop an audio file (or pick one via “Try a sample”), then run detection for a calibrated real-vs-synthetic verdict. Calibrated on In-the-Wild; ~12.9% EER out-of-domain — accuracy drops on audio unlike the training corpus.
Detection targetload a clip, then run detection
converted to 16-bit WAV locally — loads as the target, never auto-scores
Batch scoringqueue audio files, then score them one at a time through the same detector as Detect
Every clip is scored live by the service — nothing cached or estimated. Calibrated P(synthetic) is calibrated on In-the-Wild (~12.9% EER out-of-domain for the best single model); expect substantially worse accuracy on audio unlike the training corpus. Abstained and uncalibrated rows deliberately show no probability.
| Quality / reason | ||||||
|---|---|---|---|---|---|---|
No files queued Drop audio files above to build a scoring queue. | ||||||