Signal_processing_Lab2/speech_analysis.m

51 lines
1.5 KiB
Matlab

pkg load signal
#[signal, Fs] = audioread("modulator22.wav");
#t=0:1/Fs:length(signal)/Fs - 1/Fs;
#figure; % Create a new figure
#plot(t,signal);
#xlabel('Time(s)');
#ylabel('Signal Amplitude (normalized unit)');
#audiowrite("modifiedmodulator.wav",signal,Fs/2);
[signal, Fs] = audioread("modifiedmodulator.wav");
t=0:1/Fs:length(signal)/Fs - 1/Fs;
#figure; % Create a new figure
#plot(tt,signall);
#xlabel('Time(s)');
#ylabel('Signal Amplitude (normalized unit)');
% Parameters for measurements
num_measurements = 100; % Number of measurements
durations_dft = zeros(1, num_measurements);
durations_fft = zeros(1, num_measurements);
for i = 1:num_measurements
% Measure time taken for DFT
tic;
[power_dft, duration_dft] = frequencySpectrum(signal, Fs, false, false);
durations_dft(i) = duration_dft;
% Measure time taken for FFT with padding
tic;
[power_fft, duration_fft] = frequencySpectrum(signal, Fs, true, false);
durations_fft(i) = duration_fft;
end
% Calculate average and standard deviation
avg_duration_dft = mean(durations_dft);
std_dev_dft = std(durations_dft);
avg_duration_fft = mean(durations_fft);
std_dev_fft = std(durations_fft);
fprintf('Average duration for DFT: %f seconds\n', avg_duration_dft);
fprintf('Standard deviation for DFT: %f seconds\n', std_dev_dft);
fprintf('\n');
fprintf('Average duration for FFT (with padding): %f seconds\n', avg_duration_fft);
fprintf('Standard deviation for FFT (with padding): %f seconds\n', std_dev_fft);