Wavelet analysis of speech signal

Ireneusz Codello, Wiesława Kuniszyk-Jóźkowiak

Abstract


This paper concerns the issue of wavelet analysis of signals by continuous and discrete wavelettransforms (CWT – Continous Wavelet Transform, DWT – Discrete Wavelet Transform). Themain goal of our work was to develop a program which, through the CWT and the DWT analyses,would obtain graph of time-scale changes and would transform it into the spectrum, that is a graphof frequency changes. In this program we also obtain spectra of Fourier Transform and LinearPrediction. Owing to this, we can compare the Wavelet Transform results to those from the FourierTransform and Linear Prediction.

Full Text:

PDF


DOI: http://dx.doi.org/10.17951/ai.2007.6.1.103-115
Date of publication: 2015-01-04 00:00:00
Date of submission: 2016-04-27 10:20:02


Statistics


Total abstract view - 198
Downloads (from 2020-06-17) - PDF - 0

Indicators



Refbacks

  • There are currently no refbacks.


Copyright (c) 2015 Annales UMCS Sectio AI Informatica

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.