Sauer, Christian, Roth-Berghofer, Thomas, Auricchio, Nino and Proctor, Sam (2013) Recommending audio mixing workflows. In: Case-Based Reasoning Research and Development. Lecture Notes in Computer Science (7969). Springer, Heidelberg, Germany, pp. 299-313.

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Abstract

This paper describes our work on Audio Advisor, a workflow recommender for audio mixing. We examine the process of eliciting, formalising and modelling the domain knowledge and expert’s experience. We are also describing the effects and problems associated with the knowledge formalisation processes. We decided to employ structured case-based reasoning using the myCBR 3 to capture the vagueness encountered in the audio domain. We detail on how we used extensive similarity measure modelling to counter the vagueness associated with the attempt to formalise knowledge about and descriptors of emotions. To improve usability we added GATE to process natural language queries within Audio Advisor. We demonstrate the use of the Audio Advisor software prototype and provide a first evaluation of the performance and quality of recommendations of Audio Advisor.

Item Type:	Book Section
Identifier:	10.1007/978-3-642-39056-2_22
Additional Information:	© Springer Verlag 2013. The final publication is available at Springer via https://doi.org/10.1007/978-3-642-39056-2_22.
Keywords:	CBR, myCBR, audio, mixing, audio engineering, similarity measures, workflow recommendation, knowledge formalisation
Subjects:	Computing
Depositing User:	Vani Aul
Date Deposited:	17 Dec 2013 15:55
Last Modified:	04 Nov 2024 11:02
URI:	https://repository.uwl.ac.uk/id/eprint/517

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