98 lines
2.7 KiB
Matlab
98 lines
2.7 KiB
Matlab
pkg load signal
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#[signal, Fs] = audioread("modulator22.wav");
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#t=0:1/Fs:length(signal)/Fs - 1/Fs;
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#figure; % Create a new figure
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#plot(t,signal);
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#xlabel('Time(s)');
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#ylabel('Signal Amplitude (normalized unit)');
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#audiowrite("modifiedmodulator.wav",signal,Fs/2);
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[signal, Fs] = audioread("Sound/modulator22.wav");
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t=0:1/Fs:length(signal)/Fs - 1/Fs;
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#player=audioplayer(signal, Fs, 8)
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#play(player);
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##figure; % Create a new figure
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##plot(t,signal);
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##xlabel('Time(s)');
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##ylabel('Signal Amplitude (normalized unit)');
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Parameters for measurements
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num_measurements = 100; % Number of measurements
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durations_dft = zeros(1, num_measurements);
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durations_fft = zeros(1, num_measurements);
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for i = 1:num_measurements
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% Measure time taken for DFT
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tic;
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[power_dft, duration_dft] = frequencySpectrum(signal, Fs, false, false, [100 2700]);
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durations_dft(i) = duration_dft;
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% Measure time taken for FFT with padding
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tic;
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[power_fft, duration_fft] = frequencySpectrum(signal, Fs, true, false, [100 2700]);
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durations_fft(i) = duration_fft;
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end
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% Calculate average and standard deviation
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avg_duration_dft = mean(durations_dft);
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std_dev_dft = std(durations_dft);
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avg_duration_fft = mean(durations_fft);
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std_dev_fft = std(durations_fft);
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fprintf('Average duration for DFT: %f seconds\n', avg_duration_dft);
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fprintf('Standard deviation for DFT: %f seconds\n', std_dev_dft);
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fprintf('\n');
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fprintf('Average duration for FFT (with padding): %f seconds\n', avg_duration_fft);
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fprintf('Standard deviation for FFT (with padding): %f seconds\n', std_dev_fft);
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%Searching for formants without low pass filter
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##start_time = 0.7; % start time in seconds
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##end_time = 1.3; % end time in seconds
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##
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##start_index = round(start_time * Fs) + 1; % start index
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##end_index = round(end_time * Fs) + 1; % end index
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##
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##cropped_signal = signal(start_index:end_index); % cropped signal
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##
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##[power_dft, duration_dft] = frequencySpectrum(cropped_signal, Fs, false, true, [0 160]);
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#spectrogram(signal, Fs, 5, 30);
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#spectrogram(signal, Fs, 5, 5);
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%formants with low pass filter
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N=8;
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fc=2700;
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[b,a]= butter(N,fc/(Fs/2));
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freqz(b,a);
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signal_filtered=filter(b,a,signal);
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start_time = 0.75; % start time in seconds
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end_time = 0.95; % end time in seconds
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start_index = round(start_time * Fs) + 1; % start index
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end_index = round(end_time * Fs) + 1; % end index
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cropped_signal = signal_filtered(start_index:end_index); % cropped signal
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[power_dft, duration_dft] = frequencySpectrum(cropped_signal, Fs, false, true, [0 2700]);
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