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Speech Noise Reduction System Using MDFT Pair - Formulation of Noise Subtraction Coefficient -

Authors: Isao Nakanishi; Yuudai Nagata; Yoshio Itoh; Yutaka Fukui;

Speech Noise Reduction System Using MDFT Pair - Formulation of Noise Subtraction Coefficient -

Abstract

We have proposed the noise reduction system using modified DFT pair. An input spectrum and a noise spectrum are detected at each sample using modified DFT and then noise reduction is achieved by subtracting the detected noise spectrum from the input one. We have introduced the noise subtraction coefficient in order to reduce the difference between the detected noise level and its true one. In this paper, we propose a formulation of noise subtraction coefficient for the purpose of setting the optimal coefficient automatically at each sample. The effectiveness of the proposed method is confirmed through computer simulations.

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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!
0
Average
Average
Average
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