Improvement of Accuracy for Background Noise Estimation Method Based on TPE-AE

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  • Itai Akitoshi
    Graduate School of Information Science and Technology, Aichi Prefectural University
  • Yasukawa Hiroshi
    Graduate School of Information Science and Technology, Aichi Prefectural University

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  • テンソル積展開を用いた背景雑音推定法の精度向上

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Abstract

This paper proposes a method of a background noise estimation based on the tensor product expansion with a median and a Monte carlo simulation. We have shown that a tensor product expansion with absolute error method is effective to estimate a background noise, however, a background noise might not be estimated by using conventional method properly. In this paper, it is shown that the estimate accuracy can be improved by using proposed methods.

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