Need Reliable Speech Detection Without Cloud Dependency?
Overview
Enable accurate, device-level voice detection using Picovoice's Cobra Voice Activity Detection (VAD)—the essential voice-aware building block for any voice application.
- Activate the demo
- Enable microphone access
- Start speaking
👤 Who this is for
Use Case Scenarios
Wake Word Activation Trigger
Prevent continuous listening and save battery by only activating the system when actual speech is detected.
- Cobra Voice Activity Detection detects speech onset, starts the wake word engine—efficient and private
Audio Recording Control
Record evidence or meetings only when speech is happening to ensure privacy and save storage.
- Reduces disk use, ensures only speech is captured
Voice-Based Workflow Automation
Initiate VUI or logging only when technicians speak in inspections or maintenance.
- Speech detected, followed by Rhino Speech-to-Intent intent recognition—streamlines task logging
Key benefits
- Ultra-fast voice detection—sub‑50 ms
- Saves power, CPU, and storage by avoiding idle listening
- Rejects ambient noise for accurate triggers
- Fully local—no cloud, no privacy compromise
- Supports diverse languages and environments
Why Cobra Voice Activity Detection?
Related Products: Use Cobra Voice Activity Detection with
Frequently asked questions
Extremely accurate. Cobra Voice Activity Detection is trained on diverse real-world environments, including loud spaces and various accents, ensuring it picks up human speech reliably even with background noise or overlapping voices.
Cobra Voice Activity Detection processes everything on-device. No voice data is ever transmitted externally—keeping all detection events fully private and secure.
Yes—Cobra Voice Activity Detection is designed to be ultra-efficient. It only activates downstream voice engines when speech is detected, reducing constant processing and extending battery life for mobile or embedded applications.
Cobra Voice Activity Detection works across all major platforms: web browsers, mobile apps (iOS/Android), embedded Linux systems, and even microcontrollers (MCUs). It delivers the same fast detection regardless of the platform.