Speech-aware decisions
Produces reliable frame-level speech and non-speech decisions for downstream processing.
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AI Voice Activity Detection
AI-based speech activity detection that distinguishes speech from non-speech segments for more efficient and accurate voice processing.
The objective
Know precisely when speech begins and ends.
Voice systems waste compute and lose accuracy when silence, noise, and speech are treated alike. AI VAD supplies reliable speech and non-speech decisions to the rest of the audio pipeline.
How it works
Engineered for the complete signal chain.
Noise robustness
Uses AI-based analysis to distinguish voice from difficult background activity more accurately.
Pipeline efficiency
Allows heavier voice algorithms to run only when useful, reducing unnecessary processing.
System coordination
Can control recording, transmission, noise suppression, and recognition states.
Signal path
Where it fits
Applications
- Voice assistants
- Communication devices
- Automotive voice
- Smart home
How it ships
Deployment
- On-device voice pipelines
- Embedded DSP and SoC targets
- Always-on and triggered modes
- Front-end integration with AI NS and KWS