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Dual channels noise cancelling system

Authors: null Yan Zhaoli; null Du Limin; null Feng Ji; null Xie Lingyun; null Fu Jun;

Dual channels noise cancelling system

Abstract

To realize speaker-free speech recognition with DSP, a 2-channel recording system was developed and used to set up a speech library. The filters, including a high-pass filter, an LMS adaptive filter and a combination of these two, were adopted to separate a speaker's voice from a noisy background. The noise cancellation effectiveness of these filters was evaluated. It is worth noting that 1/f noise is shown to be a very important factor for the effectiveness of an adaptive filter. After the prior cancellation of 1/f noise at frequencies lower than 1 Hz in this study, the output signal of an adaptive filter can be improved significantly. This is of value not only for speech processing systems, but also for other adaptive filter systems.

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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!
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