Analyzing voice using Wavelet-Hilbert transform

Authors:
Nooshin Nabizadeh;Ali Soleimani;Alireza Ahmadyfard
Affiliations:
Electrical & Robotic Engineering Faculty, Shahrood University of Technology, Iran;Electrical & Robotic Engineering Faculty, Shahrood University of Technology, Iran;Electrical & Robotic Engineering Faculty, Shahrood University of Technology, Iran
Venue:
WAV'09 Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science
Year:
2009

Citing 2
Cited 0

A Theory for Multiresolution Signal Decomposition: The Wavelet Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrete-time signal processing

Discrete-time signal processing

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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.