Analyzing voice using Wavelet-Hilbert Transform

Nabizadeh N., Soleimani A., Ahmadyfard A.

8th WSEAS Int Conference on Signal Processing/3rd WSEAS Int Symposium on Wavelets Theory and Applicat in Appl Math, Signal Proc and Modern Sci, İstanbul, Türkiye, 30 Mayıs - 01 Haziran 2009, ss.33-36 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.33-36


Time-frequency and time-scale transforms are One of the powerful mathematical methods for feature extraction of non-stationary signals such as voice. Modified Fourier-based transforms and Wavelet transforms are well-known among them. Voice can be analyzed by these influential methods but normally with some serious limitations and inadequacies. This paper proposes a new approach based on Wavelet-Hilbert Transform (WHT), for the analysis of voice signals. The mathematical model of a WHT is described. The obtained results by the proposed method show some advantages over the Fourier based algorithms.