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Appl. Sci. 2016, 6(5), 125; doi:10.3390/app6050125

Augmenting Environmental Interaction in Audio Feedback Systems

1
Graduate School of Culture Technology, KAIST, Daejeon 34141, Korea
2
Arts, Media, Performance & Design, York University, Toronto, ON M3J 1P3, Canada
This paper is an extended version of paper published in the 41st International Computer Music Conference, Denton, TX, USA, 25 September–1 October 2015
*
Author to whom correspondence should be addressed.
Academic Editor: Vesa Valimaki
Received: 2 March 2016 / Accepted: 18 April 2016 / Published: 28 April 2016
(This article belongs to the Special Issue Audio Signal Processing)
View Full-Text   |   Download PDF [1119 KB, uploaded 28 April 2016]   |  

Abstract

Audio feedback is defined as a positive feedback of acoustic signals where an audio input and output form a loop, and may be utilized artistically. This article presents new context-based controls over audio feedback, leading to the generation of desired sonic behaviors by enriching the influence of existing acoustic information such as room response and ambient noise. This ecological approach to audio feedback emphasizes mutual sonic interaction between signal processing and the acoustic environment. Mappings from analyses of the received signal to signal-processing parameters are designed to emphasize this specificity as an aesthetic goal. Our feedback system presents four types of mappings: approximate analyses of room reverberation to tempo-scale characteristics, ambient noise to amplitude and two different approximations of resonances to timbre. These mappings are validated computationally and evaluated experimentally in different acoustic conditions. View Full-Text
Keywords: audio feedback; digital filters; digital signal processing; music; reverberation audio feedback; digital filters; digital signal processing; music; reverberation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Kim, S.; Wakefield, G.; Nam, J. Augmenting Environmental Interaction in Audio Feedback Systems. Appl. Sci. 2016, 6, 125.

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