Open access peer-reviewed chapter

Discrete Wavelet Transform & Linear Prediction Coding Based Method for Speech Recognition via Neural Network

By K.Daqrouq, A.R. Al-Qawasmi, K.Y. Al Azzawi and T. Abu Hilal

Submitted: November 11th 2010Reviewed: July 14th 2011Published: September 12th 2011

DOI: 10.5772/20978

Downloaded: 3164

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

K.Daqrouq, A.R. Al-Qawasmi, K.Y. Al Azzawi and T. Abu Hilal (September 12th 2011). Discrete Wavelet Transform & Linear Prediction Coding Based Method for Speech Recognition via Neural Network, Discrete Wavelet Transforms Hannu Olkkonen, IntechOpen, DOI: 10.5772/20978. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/discrete-wavelet-transforms-biomedical-applications/discrete-wavelet-transform-linear-prediction-coding-based-method-for-speech-recognition-via-neural-n" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

3164total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Implementation of the Discrete Wavelet Transform Used in the Calibration of the Enzymatic Biosensors

By Gustavo A. Alonso, Juan Manuel Gutiérrez, Jean-Louis Marty and Roberto Muñoz

Related Book

First chapter

Discrete Wavelet Multitone Modulation for ADSL & Equalization Techniques

By Sobia Baig, Fasih-ud-Din Farrukh and M. Junaid Mughal

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,700 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us