A new Approach for Speech Denoising

ÖZKAN K., SEKE E., IŞIK Ş.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.2109-2112, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2016.7496188
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.2109-2112
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

With increasing use of communication via digital signal speech data in real world applications, noise reduction in speech data became an important requirement. Traffic, crowd and such uncontrollable environmental parameters can be accounted for the background noise in speech data. One of the speech denoising approaches is to measure noise characteristics at the moments that speech do not exist and remove it from the entire speech data using statistical or spectral subtraction methods. In this paper, the concept of Singular Value Decomposition (SVD) is applied on spectral components of speech data, reconstructing the denoised speech data using inverse Fourier transform.