2014 IEEE International Parallel &Amp; Distributed Processing Symposium Workshops 2014
DOI: 10.1109/ipdpsw.2014.187
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A Distributed Speech Algorithm for Large Scale Data Communication Systems

Abstract: Data-driven computing and using data for strategic advantages are exemplified by communication systems, and the speech intelligibility in communication systems is generally interrupted by interfering noise. This interference comes from the environmental noise, so we can reduce them intelligibility by masking the interested signal [1, 2]. An important work in communication systems is to extract speech from noisy speech and inhibiting background noise. In this paper, the subspace algorithm theory is introduced i… Show more

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