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User interfaces of audio tools and processors can be difficult for novices to use because technical parameters provide little guidance about their sonic manifestation. Borrowing a technique from psychoacoustics, the authors explore an efficient means for mapping users’ descriptors (target adjectives) to technical parameters. Weighting functions are created based on the relative influence of a parameter in influencing the adjective descriptor, such as warm, bright, and full. This approach was tested on two common types of processing: equalization and reverberation. Despite the relative simplicity of the approach, the results are promising.
Author (s): Sabin, Andrew Todd; Rafii, Zafar; Pardo, Bryan
Affiliation:
Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA; EECS Department, Northwestern University, Evanston, IL, USA
(See document for exact affiliation information.)
Publication Date:
2011-06-06
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Sabin, Andrew Todd; Rafii, Zafar; Pardo, Bryan; 2011; Weighted-Function-Based Rapid Mapping of Descriptors to Audio Processing Parameters [PDF]; Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA; EECS Department, Northwestern University, Evanston, IL, USA; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=15938
Sabin, Andrew Todd; Rafii, Zafar; Pardo, Bryan; Weighted-Function-Based Rapid Mapping of Descriptors to Audio Processing Parameters [PDF]; Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA; EECS Department, Northwestern University, Evanston, IL, USA; Paper ; 2011 Available: https://aes2.org/publications/elibrary-page/?id=15938
@article{sabin2011weighted-function-based,
author={sabin andrew todd and rafii zafar and pardo bryan},
journal={journal of the audio engineering society},
title={weighted-function-based rapid mapping of descriptors to audio processing parameters},
year={2011},
volume={59},
issue={6},
pages={419-430},
month={july},}