Fact · Voice privacy and security
In a 2019 Interspeech paper on speaker verification, the decision threshold is the setting that controls the ratio between the false rejection rate and the false acceptance rate.
Checked against its source on October 17, 2026
In the source's own words
“the threshold used to compute the ratio between the False Rejection Rate (FRR) and the False Acceptance Rate (FAR)”
Optimization of False Acceptance/Rejection Rates and Decision Threshold for End-to-End Text-Dependent Speaker Verification Systems, Victoria Mingote et al., Proceedings of Interspeech 2019, ISCA Archive, 2019, Abstract.
Open the original- What it measures
- The paper trains a neural speaker verification system to manage that threshold directly, so that its training matches the operating point where it is used.
- What it does not show
- A research paper on text-dependent verification with a 2019 system on one dataset. It explains the trade-off, not the error rate of any product.