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, Turkey, 30 May - 01 June 2009, pp.33-36 identifier

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.33-36
  • Istanbul Technical University Affiliated: No

Abstract

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.