A two-microphone noise reduction method in highly non-stationary multiple-noise-source environments

Junfeng Li, Masato Akagi, Yôiti Suzuki

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

In this paper, we propose a two-microphone noise reduction method to deal with non-stationary interfering noises in multiplenoise- source environments in which the traditional two-microphone algorithms cannot function well. In the proposed algorithm, multiple interfering noise sources are regarded as one virtually integrated noise source in each subband, and the spectrum of the integrated noise is then estimated using its virtual direction of arrival. To do this, we suggest a direction finder for the integrated noise using only two microphones that performs well even in speech active periods. The noise spectrum estimate is further improved by integrating a single-channel noise estimation approach and then subtracted from that of the noisy signal, finally enhancing the desired target signal. The performance of the proposed algorithm is evaluated and compared with the traditional algorithms in various conditions. Experimental results demonstrate that the proposed algorithm outperforms the traditional algorithms in various conditions in terms of objective and subjectivespeech quality measures.

Original languageEnglish
Pages (from-to)1337-1346
Number of pages10
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE91-A
Issue number6
DOIs
Publication statusPublished - 2008 Jan 1

Keywords

  • Multiple-noise-source environments
  • Noise reduction
  • Non-stationary noise
  • Virtually integrated sound source

ASJC Scopus subject areas

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

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