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Server-Side WebRTC Noise Reduction with Pion, FFmpeg, and RNN Models

This is a sanitized engineering note about server-side audio noise reduction for WebRTC calls. Source article: https://www.lodan.me/posts/server-side-webrtc-noise-reduction-pion-ffmpeg-rnn/ What the prototype tests The goal is not to replace WebRTC's built-in audio processing. The narrower test is: receive a WebRTC Opus track with Pion read RTP packets in OnTrack decode Opus payloads to PCM pipe raw PCM into FFmpeg apply the arnndn RNN noise reduction filter validate the output as a file before considering real-time forwarding Why this boundary matters RTP, Opus, PCM, and FFmpeg raw audio input are different boundaries. If the PCM format is wrong, FFmpeg may still produce a file, but the result should not be trusted. For example, if the Go side writes int16 PCM, the FFmpeg input format should be reviewed as s16le , not casually treated as s32le . Production concerns The prototype is useful because it isolates the audio path, but production use needs more work: buffering and latency CPU and memory isolation FFmpeg process lifecycle model choice packet loss and jitter RTP timestamps audio/video sync whether the processed audio is returned to WebRTC or only recorded The full article has diagrams and the longer explanation: https://www.lodan.me/posts/server-side-webrtc-noise-reduction-pion-ffmpeg-rnn/

2026-05-30 原文 →
AI 资讯

This sound card could give gamers a competitive edge

Fosi Audio announced a new sound card today with a unique feature designed to give FPS players an advantage. The C3 Gaming Sound Card, which sits outside your PC or laptop and connects with a USB-C cable, includes the company's StepSense "audio enhancement technology" powered by a model that was "trained on extensive FPS audio […]

2026-05-28 原文 →