Timbre Interfaces Using Adjectives And Adverbs
Colin G. Johnson, Alex Gounaropoulos · Kent Academic Repository (University of Kent) · 2006
How can we provide interfaces to synthesis algorithms thatwill allow us to manipulate timbre directly, using the sametimbre-words that are used by human musicians to communicate about timbre? This paper describes ongoingwork that uses machine learning methods (principally genetic algorithms and neural networks) to learn (1) to recognise timbral characteristics of sound and (2) to adjust timbral characteristics of existing synthesized sounds.