Multiple far noise suppression in a real environment using transfer-function-gain NMF

Yutaro Matsui, Shoji Makino, Nobutaka Ono, Takeshi Yamada

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

5 Citations (Scopus)

Abstract

Conventional noise suppression methods based on array signal processing use phase information and control the directivity of noises. However, such methods can hardly suppress so-called background noise, whose arrival direction cannot be specified. Thus, multiple far noise suppression based on transferfunction-gain non-negative matrix factorization (NMF) has been proposed as a method that can suppress such background noise. Its effectiveness has been confirmed by an experimental simulation using convolutional mixtures; however, it has not been verified that it is practical in a real environment. Thus, in this paper, we examine the performance of this method by recording a target and multiple far noises with asynchronous microphones in a real environment. We confirm that this method can suppress far noises in a real environment with diverse distances between microphones and interference sources.

Original languageEnglish
Title of host publication25th European Signal Processing Conference, EUSIPCO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2314-2318
Number of pages5
ISBN (Electronic)9780992862671
DOIs
Publication statusPublished - 2017 Oct 23
Externally publishedYes
Event25th European Signal Processing Conference, EUSIPCO 2017 - Kos, Greece
Duration: 2017 Aug 282017 Sep 2

Publication series

Name25th European Signal Processing Conference, EUSIPCO 2017
Volume2017-January

Conference

Conference25th European Signal Processing Conference, EUSIPCO 2017
CountryGreece
CityKos
Period17/8/2817/9/2

ASJC Scopus subject areas

  • Signal Processing

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