VAD

Voice Activity Detection (VAD): The core signal-processing technology that precisely isolates human speech from noise and silence in real-time audio streams.

VAD, or Voice Activity Detection, is the foundational signal-processing technique that acts as a binary classifier: speech (1) versus non-speech (0) in an audio stream. Its primary function is to conserve resources and enhance performance in applications like Voice over IP (VoIP) and Automatic Speech Recognition (ASR). For example, in a VoIP application like Zoom or Discord, VAD ensures data transmission only occurs during spoken segments, drastically reducing bandwidth consumption and computational load. Modern VAD algorithms have evolved past simple energy-based models; they now leverage deep learning architectures and Gaussian Mixture Models (GMMs) to accurately distinguish speech from complex background noise. High-performance solutions, such as Cobra VAD, are benchmarked to deliver double the accuracy of older standards like Google's WebRTC VAD, processing audio chunks in milliseconds.

https://picovoice.ai/cobra-vad/