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matthewfelgate | 1 year ago

Ha, that's amazing.

I wonder what's a way to detect ADs just from audio. Maybe by volume?

discuss

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naveen_k|1 year ago

Thanks!

For audio based detection, I would start with collecting a large corpus of normal shows vs ad segment audio dataset. I assume the amplitude (volume changes) and frequency distribution would be unique enough to distinguish between them.

Train a model using their Mel Spectrogram and deploy on-device.

Microphone -> ADC -> Preprocessing -> Spectrogram Generation -> Inference -> Mute/Unmute

Would be an interesting project.

matthewfelgate|1 year ago

I believe it's more than just an interesting project—it has the potential to be a commercial product.