Speech Compression Using Multecirculerletet Transform

Sulaiman Murtadha; Ali. K. Ibrahim

Article Details

Speech Compression Using Multecirculerletet Transform

Authors:

Sulaiman Murtadha | Ali. K. Ibrahim

Publisher:

University of Baghdad

Journal:

Al-Khwarizmi Engineering Journal Vol.8 Issue 4, pp.1-8

Document Type:

Article

Publication Date:

12/2012

Document Language:

English

Document ID (Org No.):

2001539204

pISSN:

2312-0789

Keywords:

Abstract:

 Compressing the speech reduces the data storage requirements, leading to reducing the time of transmitting the digitized speech over long-haul links like internet. To obtain best performance in speech compression, wavelet transforms require filters that combine a number of desirable properties, such as orthogonality and symmetry.The MCT bases functions are derived from GHM bases function using 2D linear convolution .The fast computation algorithm methods introduced here added desirable features to the current transform. We further assess the performance of the MCT in speech compression application. This paper discusses the effect of using DWT and MCT (one and two dimension) on speech compression. DWT and MCT performances in terms of compression ratio (CR), mean square error (MSE) and peak signal to noise ratio (PSNR) are assessed. Computer simulation results indicate that the two dimensions MCT offer a better compression ratio, MSE and PSNR than DWT.

Article Details

Speech Compression Using Multecirculerletet Transform

Authors:

Sulaiman Murtadha | Ali. K. Ibrahim

Publisher:

University of Baghdad

Journal:

Al-Khwarizmi Engineering Journal Vol.8 Issue 4, pp.1-8

Document Type:

Article

Publication Date:

12/2012

Document Language:

English

Document ID (Org No.):

2001539204

pISSN:

2312-0789

Sound

Speech Compression

MCT

DWT

Issues

Article Details

Speech Compression Using Multecirculerletet Transform

Authors: Sulaiman Murtadha | Ali. K. Ibrahim

Publisher: University of Baghdad

Journal: Al-Khwarizmi Engineering Journal Vol.8 Issue 4, pp.1-8

Document Type: Article

Publication Date: 12/2012

Document Language: English

Document ID (Org No.): 2001539204

pISSN: 2312-0789

Sound

Speech Compression

MCT

DWT

Issues

Authors:

Sulaiman Murtadha | Ali. K. Ibrahim

Publisher:

University of Baghdad

Journal:

Al-Khwarizmi Engineering Journal Vol.8 Issue 4, pp.1-8

Document Type:

Article

Publication Date:

12/2012

Document Language:

English

Document ID (Org No.):

2001539204

pISSN:

2312-0789