LPC Analysis with Varying p

illustrates the matching behavior of LPC polynomial log magnitude spectrum to log magnitude of STFT

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Updated Wed, 03 Jun 2015 00:18:31 +0000

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Speech processing designates a team consisting of Prof. Lawrence Rabiner (Rutgers University and University of California, Santa Barbara), Prof. Ronald Schafer (Stanford University), Kirty Vedula and Siva Yedithi (Rutgers University). This exercise is one of a set of speech processing exercises that are intended to supplement the teaching material in the textbook “Theory and Applications of Digital Speech Processing” by L R Rabiner and R W Schafer.
This MATLAB exercise illustrates the matching behavior of the LPC polynomial log magnitude spectrum to the log magnitude spectrum of the STFT of a designated input frame of speech as a function of the LPC order, p, for a range of values of p; e.g., p = 10; 20; 30; 40; 50.

Cite As

Speech Processing (2023). LPC Analysis with Varying p (https://www.mathworks.com/matlabcentral/fileexchange/45320-lpc-analysis-with-varying-p), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.4.0.0

Updated to work with post-R2014b graphics

1.1.0.0

code updates; Read_Me.txt setup file; pathnew_matlab_central example

1.0.0.0