Synthetic Speech Detection is a mechanism used to protect Voice Biometrics systems from presentation attacks using synthetic speech. It relies on detecting characteristics inherent in the text-to-speech (TTS) generation process.
Synthetic Speech Detection looks for characteristics of the text-to-speech generation process, such as repetition of identical segments, characteristics of training data sets and security features. This is a probabilistic determination, so at any given threshold, there is inevitably a chance of errors (False Alarms).
Unlocking Mobile First Security for Modern Call Centre ExperiencesSeptember 2023
Is Apple’s new Personal Voice and Live Speech a security risk?September 2023
The Power of Mobile Authentication: Seamless Security in the Voice ChannelAugust 2023
What are the latest deepfake speech tools? How has social engineering overtaken phishing? What do consumers expect and more?June 2023
Is the latest attack on Synthetic Speech Detection really 99% effective? – The Truth Behind the HeadlineJune 2023