Wavelet analysis of speech signal
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:
PDFDOI: 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 - 311
Downloads (from 2020-06-17) - PDF - 0
Indicators
Refbacks
- There are currently no refbacks.
Copyright (c) 2015 Annales UMCS Sectio AI Informatica
This work is licensed under a Creative Commons Attribution 4.0 International License.