What is voice activity detection and how does it work?
ElevenLabs has introduced a Voice Activity Detection (VAD) feature to classify audio frames as either speech or silence. This capability provides developers with a mechanism to distinguish between active vocal input and background noise.
Verified State Diff
Impact & Verification Analysis
Developers building real-time conversational AI, voice agents, and streaming audio applications.
VAD is a critical architectural component for reducing latency and compute costs by preventing the processing of non-speech audio segments in voice-interactive systems.
Full Fact Overview
The announcement details the implementation of VAD, a signal processing technique that identifies the presence or absence of human speech within an audio stream. By differentiating between speech and silence, the system enables more efficient processing pipelines, specifically distinguishing VAD from endpointing, which determines when a speaker has finished their turn. This technical addition allows for better control over audio input handling in real-time conversational AI applications.