Abstract. This paper describes an approach to externalisation of the tacit knowledge used by experienced audio engineers to affectively describe emotions evoked by a sound or piece of music. We formalised the adjectives describing the timbre of a sound as well as their relationships. The main problems are the vagueness of emotions and the variation in the emotions the same single percept can trigger in different people. We demonstrate how similarity knowledge can be used to process fuzzy and incomplete queries to emulate the vagueness and differentiation associated with the emotions triggered by a sound percept. We capture the experience of audio engineers by mapping the formalised vocabulary of timbre-describing adjectives to their workflows, which describe the actions to change the spectral shaping of a sound and its emotional effect.
Christian Severin Sauer, Thomas Roth-Berghofer, Nino Auricchio, and Sam Proctor. Similarity knowledge formalisation for audio engineering. In Miltos Petridis, Thomas Roth-Berghofer, and Nirmalie Wiratunga, editors, Proceedings of the seventeenth UK workshop on Case-Based Reasoning UKCBR 2012, Cambridge, UK, 2012.