The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing
1st Edition
Published on 14. February 2022
XIV, 84 pages
978-3-030-93405-7 (ISBN)
Description
This book first details a proposed Stationary Bionic Wavelet Transform (SBWT) for use in speech processing. The author then details the proposed techniques based on SBWT. These techniques are relevant to speech enhancement, speech recognition, and ECG de-noising. The techniques are then evaluated by comparing them to a number of methods existing in literature. For evaluating the proposed techniques, results are applied to different speech and ECG signals and their performances are justified from the results obtained from using objective criterion such as SNR, SSNR, PSNR, PESQ , MAE, MSE and more.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XIV, 84 p. 69 illus., 50 illus. in color.
File size
4,47 MB
ISBN-13
978-3-030-93405-7 (9783030934057)
DOI
10.1007/978-3-030-93405-7
Schweitzer Classification
Other editions
Additional editions
Talbi Mourad
The Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing
Book
02/2022
Springer
€139.09
Shipment within 7-9 days
Person
Mourad Talbi is an Assistant Professor in Electrical Engineering in the Center of Researches and Technologies of Energy of Borj Cedria, Tunis, Tunisia. He has obtained his Master degree in automatics and signal processing in National Engineering School of Tunis in 2004. He has obtained his PhD Thesis in Electronics in Faculty of Sciences of Tunis, and his HDR in Electronics in Faculty of sciences of Tunis.
Content
1. Speech enhancement based on stationary bionic wavelet transform and maximum a posterior estimator of magnitude-squared spectrum.- 2. ECG denoising based on 1-D double-density complex DWT and SBWT.- 3. Speech Enhancement based on SBWT and MMSE Estimate of Spectral Amplitude.- 4. Arabic Speech Recognition by Stationary Bionic Wavelet Transform and MFCC using a Multi-Layer Perceptron for Voice Control
