Production-ready voice activity detection, doubling the accuracy of webRTC VAD with deep learning
Cobra Voice Activity Detection (VAD) is software that scans audio streams to identify the presence of human speech in real time.
Production-ready Cobra Voice Activity Detection enables adding highly accurate voice detection to any platform in minutes.
o = pvcobra.create(access_key)while True:is_voiced =o.process(audio_frame())
Cobra Voice Activity Detection is powered by deep learning, whereas alternatives, including 11-year-old webRTC VAD, use classic signal processing.
Production-ready Cobra Voice Activity Detection offers what developers need: Twice the webRTC VAD accuracy, ease of use, cross-platform native SDKs, and enterprise support.
Production-ready, responsive, accurate, and noise-resilient voice activity detection, enabling enterprises to focus on building core features
Choose high-performance for your product. Cobra Voice Activity Detection, powered by deep learning, outperforms traditional signal processing. It doubles the accuracy of Google’s well-known WebRTC VAD - proven by the open-source benchmark.
Build in minutes with confidence. Production-ready Cobra Voice Activity Detection is ideal for enterprise applications. Developers can deploy with it a few lines of code without worrying about support when they need it.
Add voice activity detection to your existing platforms and expand later without worrying. Cobra Voice Activity Detection runs on-device, mobile, and desktop, within web browsers, on-premise, and public cloud.
Embed Cobra Voice Activity Detection into your product in less than 10 minutes.Start Now
Voice activity detection (VAD) is a technology used to detect the presence of human speech within an audio signal. That is why it is also known as speech activity detection, speech detection, or voice detection. VAD is essential to enable Automatic Speech Recognition (ASR).
Enterprises may have different expectations from Voice Activity Detectors. Cobra Voice Activity Detection is the best Voice Activity Detector for those looking for accurate, cross-platform, resource-efficient, ready-to-deploy, and freely available to start building with it. We initially developed Cobra Voice Activity Detection as an internal tool. Then, we made it publicly available since there was no computationally efficient and accurate voice activity detection in the market.
The typical voice activity detection algorithms, including the most popular WebRTC VAD, use learned statistical models such as the Gaussian mixture model. It’s an old technique. That’s why WebRTC VAD is good, computationally efficient, and works for streaming audio signals but not great. Cobra Voice Activity Detection uses deep learning, achieving the highest accuracy across all platforms.
Cobra Voice Activity Detection processes real-time conversations or recordings on-device, resulting in private, HIPAA, CCPA, and GDPR-compliant experiences. Cobra Voice Activity Detection can run on web browsers, mobile applications, IoT devices, laptops, or servers wherever the data resides.
Cobra Voice Activity Detection works standalone but also pairs up with other engines and enables several use cases. For example, developers combine Cobra Voice Activity Detection with Rhino Speech-to-Intent for QSR drive-thru voice assistants, with Cheetah Streaming Speech-to-Text for real-time agent coaching, and with Leopard Speech-to-Text for cost-effective audio transcription.
Yes! Reach out to the Picovoice Consulting team to get Cobra Voice Activity Detection ported to your platform or a custom voice activity detector trained for you.
Picovoice docs, blog, Medium posts , and GitHub are great resources to learn about voice AI, Picovoice technology, and how to enhance speech quality. Picovoice also offers GitHub community support to all Free Plan users.