Output details
11 - Computer Science and Informatics
The University of West London
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Output title
Recommending Audio Mixing Workflows
Type
E - Conference contribution
Name of conference/published proceedings
The 21st International Conference on Case-Based Reasoning
Volume number
7969
Issue number
-
First page of article
299
ISSN of proceedings
1611-3349
Year of publication
2013
URL
-
Number of additional authors
3
Additional information
<22> This paper describes our work on Audio Advisor, a workflow recommender for audio mixing. We examine the process of eliciting, formalising and modeling the domain knowledge and expert's experience. We describe the effects and problems associated with the knowledge formalisation processes. We employ structured case-based reasoning to capture the vagueness encountered in the audio domain. We used extensive similarity measure modeling to counter the vagueness associated with formalising knowledge about and descriptors of emotions. We employed GATE to process natural language queries within Audio Advisor. We demonstrate the use of the Audio Advisor software prototype and provide a first evaluation.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
