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LPC Analysis with Varying p

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LPC Analysis with Varying p



30 Jan 2014 (Updated )

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

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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.

Required Products MATLAB
MATLAB release MATLAB 8.0 (R2012b)
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18 Apr 2014 1.1

code updates; Read_Me.txt setup file; pathnew_matlab_central example

03 Jun 2015 1.4

Updated to work with post-R2014b graphics

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