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.

Relevant publications:

• Bürgel, M. and Siedenburg, K. (2023). Salience of frequency micro- modulations in popular music. Music Perception, 41(1):1–14.
• Gerdes, K. and Siedenburg, K. (2023). Lead-vocal level in recordings of popular music 1946-2020. JASA Express Letters, 3(4):043201–043201.
• Siedenburg, K., Jacobsen, S., and Reuter, C. (2021). Spectral envelope position and shape in orchestral instrument sounds. The Journal of the Acoustical Society of America, 149(6):3715– 3727, https://doi.org/10.1121/10.0005088.