LPC Methods Final Report

LPC Methods Final Report - Linear Predictive Coding Methods...

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Unformatted text preview: Linear Predictive Coding Methods Speech Processing ECE 5525 Final Project Report By: Mohamed M. Eljhani Fall 2010 Problem Description The main purpose of this project is to show the different between three linear predictive methods by implementing a Matlab program that convert from a frame of speech to a set of linear Prediction coefficients, using three basic methods, i.e. The Auto-correlation Method. The Covariance Method. The Lattice Filter Method. Choose a section of a steady state vowel, and a section of unvoiced speech, to plot LPC spectra from the three methods along with the normal spectrum from the Hamming window weighted frame. Write a MATLAB program to convert from a frame of speech to a set of linear prediction coefficients, using 3 methods, i.e., the Auto-correlation Method, the Covariance Method, and the Lattice Filter Method. Choose a section of a steady state vowel, and a section of unvoiced speech, and plot LPC spectra from the 3 methods along with the normal spectrum from the Hamming window weighted frame. Use N = 300, p = 12, with Hamming Window weighting for the autocorrelation method. Use the same parameters for the Covariance and Lattice Methods. Use the files ah.wav to get a vowel steady state sound beginning at sample 3000, and the file test 16k.wav to get a fricative beginning at sample 3000. (Note that for the covariance and lattice methods, you also need to preserve p samples before the starting sample at n = 3000 for computing correlations, and error signals). Problem Solution The following MATLAB program reads in a file of speech and computes the original spectrum (of the signal weighted by a Hamming window), and plots on top of this the LPC spectrum from the autocorrelation, covariance, and lattice methods. There is a main program and three functions (durbin for the auto- correlation method, cholesky for the covariance method although simple matrix inversion was used, rather than the Cholesky decomposition, and lattice for the traditional lattice method). % % read in speech file, chooses section of speech and solve for set of % lpc coefficients using the autocorrelation method, the covariance % method and the lattice method % % plot the resulting spectra from all three methods % % read in waveform for a speech file % % [xin,fs,mode,format]=loadwav('ah_truncated.wav');xin) filename=input ('enter speech filename:','s'); [xin,fs,mode,format]=loadwav(filename); % normalize input to [-1,1] range and play out sound file...
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LPC Methods Final Report - Linear Predictive Coding Methods...

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