Sound Source Separation by Instantaneous Estimation-Based Spectral Subtraction

Kenji Ozawa, Masanori Morise, Shuichi Sakamoto

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

7 Citations (Scopus)

Abstract

This project aims to achieve sound source separation based on the two-dimensional fast Fourier transform (2D FFT) of a spatio-temporal sound pressure distribution image consisting of the outputs of a microphone array. The target sound, which arrives from the front of the array, forms vertical stripes in the image. Therefore, its spectral components are perfectly localized as direct current (DC) components along the spatial frequency axis in the 2D-FFT spectrum. In this study, noise suppression was performed by spectral subtraction after the DC components of noise were instantaneously estimated from the spectrum using artificial neural networks. As a result, the performance of the proposed method with a 14-cm-long array was comparable to that of the conventional delay and sum beamformer method with an approximately 5-m-long array.

Original languageEnglish
Title of host publication2018 5th International Conference on Systems and Informatics, ICSAI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages900-905
Number of pages6
ISBN (Electronic)9781728101200
DOIs
Publication statusPublished - 2019 Jan 2
Event5th International Conference on Systems and Informatics, ICSAI 2018 - Nanjing, China
Duration: 2018 Nov 102018 Nov 12

Publication series

Name2018 5th International Conference on Systems and Informatics, ICSAI 2018

Conference

Conference5th International Conference on Systems and Informatics, ICSAI 2018
Country/TerritoryChina
CityNanjing
Period18/11/1018/11/12

Keywords

  • Instantaneous estimation
  • Microphone array
  • Neural networks
  • Spatiotemporal sound pressure distribution image
  • Spectral subtraction
  • Two-dimensional FFT

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Systems Engineering

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