Improving the performance of the minimum statistics noise estimator for single channel speech enhancement

Seung Kyun Ryu, Hong Goo Kang, Sung Kyo Jung, Dae Hee Youn

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper proposes an algorithm to improve the performance of the noise power spectrum estimation using the minimum statistics (MS). The minimum statistics noise estimator (MSNE) that is most efficient for speech enhancement often underestimates noise power when the signal characteristics changes abruptly. The proposed algorithm improves the accuracy of noise estimation by removing harmonic components of the speech signal. Simulation results verify that the performance of the proposed algorithm is better than that of the conventional algorithm in terms of the segmental SNR (S egS NR) and the spectral distance (SD).

Original languageEnglish
Pages (from-to)582-585
Number of pages4
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE88-A
Issue number2
DOIs
Publication statusPublished - 2005 Jan 1

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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