MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

&nbsp;

MIT World Peace University

Speech coding is an application of data compression of digital audio signals containing speech. Speech coding uses speech specific parameter estimation using audio signal processing techniques to model the speech signal combined with generic data compression algorithms to represent the resulting model parameters into a compatible string. The most important applications of speech coding are mobile telephony and voice over Internet Protocol. In this paper a modified Code Excited Linear Prediction technique is proposed and is compared with Linear Predictive Coding, Voice Excited Linear Predictive Coding and Code Excited Linear Predictive Coding. From the results it can be concluded that modified Code Excited Linear Prediction technique is better than its counterparts.

School of Electronics & Communication Engineering

Engineering and Technology

IJARESM

An enhanced CELP Speech Coding Technique

In human communication, voice is the preferred method. But in order to fit a band limited storage space or some transmission channel, speech signals have to be converted to formats using various techniques called as speech coding techniques. Today, speech coders have become an essential component in cellular communications, video conferencing, multimedia applications and computer based games. In the past decade, progress has been made towards the development of low-rate speech coders to be used in various applications which led to the development of new speech coders capable of producing high-quality speech reconstruction at low data rates. In order to optimize the performance, most of these coders employ the mechanisms to represent the spectral properties of speech, provided for speech waveform matching and hence achieve improved compression as compared to direct quantization. A number of these coders have already been adopted in national and international cellular telephony standards. This paper presents a review of various speech coders based on various parameters, their merits, demerits, types and applications.