Philipp Hancke tests why voice agents sometimes answer their own greetings. In his setup, echo reached transcription in 21% of Edge sessions and 4% of Chrome sessions. AEC dumps show how echo cancellation, gain control, and VAD thresholds interact.
Google Chrome downloads a new neural AEC while you are not looking
Chrome quietly delivers a neural model that changes part of its echo-cancellation pipeline. Philipp Hancke reverse engineers the model and compares echo suppression and speech recognition against AEC3.
Comparing WebRTC video codecs with a proper dataset
Stumbling over Microsoft’s Video Conferencing Dataset (VCD) I asked Claude to take on a video codec engineer’s favorite hot take: compare video codecs. It did a fairly good writeup using the tooling provided by libWebRTC. One of the most surprising results was that background blur makes H.264 a lot more effective. Other than that, the […]
Vector Vibing to speed up Opus encode by 20%
tl;dr: Opus encoding just got 20% faster on desktop Chromium by turning on AVX2 vectorization in libopus. Vectorization means one instruction doing the same arithmetic on a whole vector of values at once instead of one at a time. Codecs spend their hot loops running identical math across long buffers of samples, exactly where vectorization […]
Vibe-coding WebRTC
Well, that title is clickbait for Hacker News. The honest title would have been “using AI to tackle long-standing WebRTC issues.” Posts on webrtcHacks are rare these days, and in German we would say there are Unkenrufe that WebRTC is dead. It is not. It is the infrastructure for meetings, game streaming, and voice AI, […]