Description: This MATLAB exercise builds an LPC vocoder, i.e., performs LPC analysis and synthesis on a speech file, resulting in a synthetic speech approximation to the original speech. The LPC analysis uses a standard autocorrelation analysis to determine the sets of LPC coefficients, on a frame-by-frame basis, along with the frame-based gain. An independent analysis method (a cepstral pitch period detector) classifies each frame of speech as being either voiced speech (with period determined by the location of the cepstral peak in a designated range of pitch periods) or unvoiced speech (simulated by a random noise frame) with a frame pitch period of 0 samples. The independent analysis provides a two-state excitation function for the LPC synthesis part of the processing, consisting of a series of pitch pulses (during voiced frames) and/or noise sequences (during unvoiced frames). The file 5.13 LPC Vocoder.pdf provides a User s Guide for this exercise.
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test_16k_unnormalized_excitation.wav
1A_normalized_excitation.wav
1A_synthetic.wav
1A_unnormalized_excitation.wav
5.13 LPC Vocoder.pdf
autolpc.m
Callbacks_lpc_vocoder_GUI25.m
clear_all_graphics.m
create_excitation.m
create_excitation_signal.m
gen_pitch.m
highpass_filter.m
lpc_analysis.m
lpc_vocoder_GUI25.m
lpc_vocoder_GUI25.mlappinstall
lpc_vocoder_GUI25.prj
lpc_vocoder_pitch.mat
LPCVocoder.JPG
medf.m
normalize_excitation.m
output_lpc_vocoder.txt
pathnew_matlab_central.m
pitch_detect_cepstrum.m
pitch_detect_cepstrum_GUI.m
plot_excitation_signal.m
plot_original_signal.m
plot_pitch_period_contour.m
plot_synthetic_signal.m
Read_Me.txt
record_speech.m
s5_edited_normalized_excitation.wav
s5_edited_synthetic.wav
s5_edited_unnormalized_excitation.wav
save_excitations.m
savewav.m
setup_lpc_vocoder.m
smoothpitch.m
synthesize_speech.m
test_16k_normalized_excitation.wav
test_16k_synthetic.wav
license.txt
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