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Research on noise quality in anti-eavesdropping system based on acoustic masking

Authors: Jingsai Jiang; Ye Li; Xiaofeng Ma; Peng Zhang; Yanhong Fan; Qiuyun Hao;

Research on noise quality in anti-eavesdropping system based on acoustic masking

Abstract

In this paper, the noise in anti-eavesdropping system based on acoustic masking is analyzed and the loudness and sharpness which affect the subjective hearing comfort are quantitatively calculated. A new active noise control (ANC) method for anti-eavesdropping system is realized by improving the Filtered-X LMS (FXLMS) algorithm. It can improve the efficiency of active noise cancellation. Experiments show that the proposed method and system can effectively mitigate the redundancy and annoying noise in the speech-protected area. It can significantly reduce the loudness and sharpness of the noise in the protected area and improve the auditory comfort of the talk participant.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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