Bo_Amigo_910

Handling unstable signals by waiting instead of reacting — has this been studied?

It’s microphone‑only loudness tracking with deterministic IR volume control. No audio pipeline access, no compression, no HDMI‑ARC or CEC. Everything runs offline.

I’m posting technical details, not trying to spam. If it’s not useful to you, feel free to skip it.

TVs don’t react to volume commands consistently, so keeping the level steady is harder than just spotting loud moments.

Has anyone seen a tool that detects loud TV commercials from audio and automatically sends IR volume commands? Wondering if this idea has been discussed here before.

If you have time to look through all those previous threads, you might also find it useful to take a quick look at the project itself — the current version has changed quite a bit. Happy to clarify anything if needed.

Has anyone heard about that app that can recognize loud ads on TV and instantly mute them? I’m curious if this is something people here already know.

Behaviour-based reactions are the core. No content analysis — just instant response to sudden changes.

Ads, trailers, jingles – they all have one thing in common: instant volume spikes. Our app detects them by measuring sudden changes, quickly confirming spikes, reacting immediately, avoiding false alarms, and stabilizing the signal without delay. Detecting volume spikes is one of its greatest advantages.

Anyone else irritated by TV commercials suddenly becoming much louder than the show itself?

We've created a little tool that keeps everything at a normal volume so you can watch in peace.

It works automatically—no remote needed.

More details on our website

Has anyone here tried that new app that detects loud TV ads and controls the volume through Broadlink? I’d love to know if you have any experience with it.

For a long time I was bothered by how modern TVs still struggle with stable audio levels. Commercials are louder, dialogues are quieter, and sudden spikes can wake up half the house. Even with built‑in “volume leveling”, the problem persists — especially during ads and streaming.

After trying different solutions over the years, nothing worked reliably. So I built a small offline system that listens to TV audio in real time, detects sudden loudness spikes, and sends IR volume adjustments locally.

No cloud, no APIs, no smart‑home ecosystem — just local audio analysis + a simple IR blaster.

The hardest part wasn’t the code, but figuring out when audio truly requires intervention. That led me to design a small signal‑behavior model that looks at micro‑events, context and dynamics before deciding whether to react.

The prototype is now stable enough for daily use. Not perfect yet, but the foundation works.

Here is a short demo showing how the system reacts to loudness spikes and how CEPA Logic stabilizes the volume: https://github.com/AdBusterOfficial/Adbuster--WinApp/release...