Multi-channel noise reduction in noisy environments

Junfeng Li, Masato Akagi, Yôiti Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multi-channel noise reduction has been widely researched to reduce acoustic noise signals and to improve the performance of many speech applications in noisy environments. In this paper, we first introduce the state-of-the-art multi-channel noise reduction methods, especially beamforming based methods, and discuss their performance limitations. Subsequently, we present a multi-channel noise reduction system we are developing that consists of localized noise suppression by microphone array and non-localized noise suppression by post-filtering. Experimental results are also presented to show the benefits of our developed noise reduction system with respect to the traditional algorithms in terms of speech recognition rate. Some suggestions are finally presented for the further research.

Original languageEnglish
Title of host publicationChinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings
Pages258-269
Number of pages12
DOIs
Publication statusPublished - 2006 Dec 1
Event5th International Symposium on Chinese Spoken Language Processing, ISCSLP 2006 - Singapore, Singapore
Duration: 2006 Dec 132006 Dec 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4274 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Symposium on Chinese Spoken Language Processing, ISCSLP 2006
Country/TerritorySingapore
CitySingapore
Period06/12/1306/12/16

Keywords

  • Beamforming technique
  • Localized noise
  • Multi-channel noise reduction
  • Non-localized noise
  • Speech recognition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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