Finalizing before release.

Author: zafarrafii

examples.ipynb

@@ -68,10 +68,11 @@
             %       audio_spectrogram = abs(audio_stft(2:window_length/2+1,:));
             %
             %       % Display the spectrogram in dB, seconds, and Hz
+			%		number_samples = length(audio_signal);
             %       xtick_step = 1;
             %       ytick_step = 1000;
             %       figure
-            %       zaf.specshow(audio_spectrogram, length(audio_signal), sampling_frequency, xtick_step, ytick_step);
+            %       zaf.specshow(audio_spectrogram, number_samples, sampling_frequency, xtick_step, ytick_step);
             %       title('Spectrogram (dB)')
 
             % Get the number of samples and the window length in samples
@@ -122,8 +123,7 @@
             %       [audio_signal,sampling_frequency] = audioread('audio_file.wav');
             % 
             %       % Set the parameters for the STFT
-            %       window_duration = 0.04;
-            %       window_length = 2^nextpow2(window_duration*sampling_frequency);
+            %       window_length = 2^nextpow2(0.04*sampling_frequency);
             %       window_function = hamming(window_length,'periodic');
             %       step_length = window_length/2;
             % 
@@ -290,9 +290,10 @@
             %       mel_spectrogram = zaf.melspectrogram(audio_signal,window_function,step_length,mel_filterbank);
             % 
             %       % Display the mel spectrogram in in dB, seconds, and Hz
+			%		number_samples = length(audio_signal);
             %       xtick_step = 1;
             %       figure
-            %       zaf.melspecshow(mel_spectrogram, length(audio_signal), sampling_frequency, window_length, xtick_step)
+            %       zaf.melspecshow(mel_spectrogram, number_samples, sampling_frequency, window_length, xtick_step)
             %       title('Mel spectrogram (dB)')
 
             % Compute the magnitude spectrogram (without the DC component and the mirrored frequencies)
@@ -371,7 +372,7 @@
             %   cqt_kernel = zaf.cqtkernel(sampling_frequency,octave_resolution,minimum_frequency,maximum_frequency)
             %   
             %   Inputs:
-            %       sampling_frequency: sample frequency in Hz
+            %       sampling_frequency: sampling frequency in Hz
             %       octave_resolution: number of frequency channels per octave
             %       minimum_frequency: minimum frequency in Hz
             %       maximum_frequency: maximum frequency in Hz
@@ -394,8 +395,8 @@
             %       axis xy
             %       colormap(jet)
             %       title('Magnitude CQT kernel')
-            %       xlabel('FFT length')
-            %       ylabel('CQT frequency')
+            %       xlabel('FFT index')
+            %       ylabel('CQT index')
 
             % Compute the constant ratio of frequency to resolution (= fk/(fk+1-fk))
             quality_factor = 1/(2^(1/octave_resolution)-1);
@@ -466,10 +467,10 @@
             %       audio_signal = mean(audio_signal,2);
             % 
             %       % Compute the CQT kernel using some parameters
-            %       frequency_resolution = 2;
+            %       octave_resolution = 24;
             %       minimum_frequency = 55;
             %       maximum_frequency = 3520;
-            %       cqt_kernel = zaf.cqtkernel(sampling_frequency,frequency_resolution,minimum_frequency,maximum_frequency);
+            %       cqt_kernel = zaf.cqtkernel(sampling_frequency,octave_resolution,minimum_frequency,maximum_frequency);
             % 
             %       % Compute the (magnitude) CQT spectrogram using the kernel
             %       time_resolution = 25;
@@ -478,7 +479,7 @@
             %       % Display the CQT spectrogram in dB, seconds, and Hz
             %       xtick_step = 1;
             %       figure
-            %       zaf.cqtspecshow(cqt_spectrogram,time_resolution,frequency_resolution,minimum_frequency,xtick_step);
+            %       zaf.cqtspecshow(cqt_spectrogram,time_resolution,octave_resolution,minimum_frequency,xtick_step);
             %       title('CQT spectrogram (dB)')
 
             % Derive the number of time samples per time frame
@@ -831,10 +832,11 @@
             %       audio_mdct = zaf.mdct(audio_signal,window_function);
             % 
             %       % Display the MDCT in dB, seconds, and Hz
+			%		number_samples = length(audio_signal);
             %       xtick_step = 1;
             %       ytick_step = 1000;
             %       figure
-            %       zaf.specshow(abs(audio_mdct),length(audio_signal),sampling_frequency,xtick_step,ytick_step)
+            %       zaf.specshow(abs(audio_mdct),number_samples,sampling_frequency,xtick_step,ytick_step)
             %       title('MDCT (dB)')
 
             % Get the number of samples and the window length in samples