Sub-axis 3

Audio Analysis


To model effects of orchestral combinations and their changes over time, acoustic parameters related to timbre perception will be analyzed on individual and combined audio tracks from multitrack or sound-field recordings and from rendered orchestral simulations. Data mining of these time-varying audio parameters will discover new relevant acoustic descriptors and relations among instrument sounds within certain orchestration effects and will model results from perception experiments. Scores often either do not provide sufficient grounds for analysis and theorizing (performed nuances of score-based music performed in acoustic spaces) or do not exist (improvised and electroacoustic music). So new analytic approaches will be developed that use sound as the starting point and that seek to develop symbolic representations of the events and processes that are perceived in the recordings.