I'm detecting vehicle honking from environmental sounds (engine noise, speech music, siren etc.) based on binary classification. Common audio features (spectral flux, centroid, mfcc, harmonicity etc.) seemed not doing well --- we get model with nice sensitivity but the problem is that the false-alarm rate is high. Failure cases includes sirens and speech.
Any features that describes most common vehicle honking sounds with discrimination from similar sounds for example, siren or speech? Thanks.