A new Approach for Speech Denoising

ÖZKAN K., SEKE E., IŞIK Ş.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.2109-2112 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2016.7496188
  • Basıldığı Şehir: Zonguldak
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.2109-2112
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

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.