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Robustness and Regularization of Personal Audio Systems

As well as being able to reproduce sound in one region of space, it would be useful to reduce the level of reproduced sound in other spatial regions, with a "personal audio" system. For mobile devices this is motivated by issues of privacy for the user and the need to reduce annoyance for...

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Bibliographic Details
Published in:IEEE transactions on audio, speech, and language processing speech, and language processing, 2012-09, Vol.20 (7), p.2123-2133
Main Authors: Elliott, S. J., Cheer, J., Jung-Woo Choi, Youngtae Kim
Format: Article
Language:English
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Summary:As well as being able to reproduce sound in one region of space, it would be useful to reduce the level of reproduced sound in other spatial regions, with a "personal audio" system. For mobile devices this is motivated by issues of privacy for the user and the need to reduce annoyance for other people nearby. Such personal audio systems can be realized with arrays of loudspeakers that become superdirectional at low frequencies, when the array dimensions are small compared with the acoustic wavelength. The design of the array then becomes a compromise between performance and array effort, defined as the sum of mean squared driving signals. Various methods of formulating this tradeoff as a regularization problem have been suggested and the connection between these formulations is discussed. Large array efforts are due to strongly self-cancelling multipole arrays. A concern is then the robustness of such an array to variations in the acoustic environment and driver sensitivity and position. The design of an array that is robust to these uncertainties then leads to a generalization of regularization.
ISSN:1558-7916
2329-9290
1558-7924
2329-9304
DOI:10.1109/TASL.2012.2197613