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Advances in Research

Advances in Research, ISSN: 2348-0394,Vol.: 8, Issue.: 3


Low Bit Rate Speech Coding Using Differential Pulse Code Modulation


Shahnawaz Uddin1, Iffat Rehman Ansari1 and Sameena Naaz2*

1University Women’s Polytechnic, Aligarh Muslim University, Aligarh, India.

2Department of CSE, Faculty of Engineering and Technology, Jamia Hamdard University, New Delhi, India.


Article Information
(1) Sergii Kavun, Department of Information Technologies, Kharkiv Institute of Banking, The National Bank of Ukraine (Kyiv), Ukraine.
(2) Akash Dixit, Department of Mechanical Engineering, Oakland University, USA.
(1) Anonymous, University of California, Santa Barbara, USA.
(2) Anusha Yellamsetty, The University of Memphis, USA.
(3) Zhongpeng Wang, Zhejing University of Science and Technology, China.
(4) Zhao Jian, Department of Electrical and Computer Engineering, National University of Singapore, Singapore.
Complete Peer review History: http://www.sciencedomain.org/review-history/17487




Generally, the voice samples are very much correlated with their past/ future samples and this feature has been exploited in the present research work. Here, various voice samples have been encoded with lower number of bits as compared to the original voice samples without much deterioration in the voice quality. We have developed a code using C-programming language on UNIX platform by applying Differential Pulse Code Modulation (DPCM) algorithm (using 4, 5, & 6-bits/ sample) on the original voice samples in Pulse Code Modulation (PCM) form (i.e., 8-bits/ sample). The results, thus obtained, differ in quality depending upon the correlation between the adjacent samples of the original voice and number of bits/ sample used for encoding.


Keywords :

Speech coding; bit rate; signal to noise ratio; linear predictive coding; DPCM.


Full Article - PDF    Page 1-6    Article Metrics


DOI : 10.9734/AIR/2016/30234

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