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Real time implementation of a linear predictive coding algorithm on digital signal processor DSP32C.

Author(s)
Noor M. Sheikh Department of Electrical Engineering, University of Engineering & Technology, Lahore, Pakistan
M. Usman Department of Electrical Engineering, University of Engineering & Technology, Lahore, Pakistan
S. R. Zaidi Department of Electrical Engineering, University of Engineering & Technology, Lahore, Pakistan
S. Fatima Department of Electrical Engineering, University of Engineering & Technology, Lahore, Pakistan
Abstract
Pulse code modulation (PCM) has been widely used in speech coding. However, due to its high bit rate. PCM has severe limitations in application where high spectral efficiency is desired, for example, in mobile communication, CD quality broadcasting system etc. These limitations have motivated research in bit rate reduction techniques. Linear predictive coding (LPC) is one of the most powerful but complex techniques for bit rate reduction. With the introduction of powerful digital signal processors (DSP) it is possible to implement the complex LPC algorithm in real time. In this paper we present a real time implementation of the LPC algorithm on AT&T’s DSP32C at a sampling frequency of 8192 HZ. Application of the LPC algorithm on two speech signals is discussed. Using this implementation, a bit rate reduction of 1:3 is achieved for better than tool quality speech, while a reduction of 1.16 is possible for speech quality required in military applications.
Publication Details
Page(s) 25-31
DOI DOI not available
Published Journal: New Horizons: Journal of the Institution of Electrical & Electronics Engineers Pakistan, Volume: 41, Issue: 1, Year: 2003

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