We develop audio-based models of musical sounds that shed light on how acoustic information can be exploited by human perception. This includes transient extraction algorithms, quantifications of frequency micro-modulations in singing voices, and spectral spaces of instrument sounds. The goal is to reveal a parsimonious feature set that allows us to characterize the acoustical signature of musical instrument sounds.