Advances in artificial intelligence now enable sufficient accuracy in voice biometrics that it can be used for not just identification and personalization, but for applications such as payment authentication. A new solution from Synaptics and ID R&D offers AI-powered voice biometrics and anti-spoofing algorithms that can run on a Synaptics SoC in the edge device. Specifically, the software has been optimized for the neural processing unit (NPU) in Synaptics’ VS600 series for smart home devices such as set-top boxes (STBs), smart speakers and security systems.

Synaptics sells its AI-capable SoCs into smart home products which need to process video streaming, audio streaming and imaging. A typical use case might be a STB incorporating cameras for video conferencing, for example.

Voice biometrics is now accurate enough to enable payment authentication in smart home devices
“What’s common across the set top box application and becoming more common as time goes on is the ability to use voice as an interface,” Vineet Ganju, vice president of marketing at Synaptics told EE Times. “Remote controls can be voice enabled so you can talk into it to navigate your Netflix account and search for movies… voice as an interface is almost becoming standard in these applications.”

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