spafe.utils.vis

spafe.utils.vis.multi_plots(data, fs, plot_rows, step, colors=['b', 'r', 'm', 'g', 'b', 'y', 'r-.'])

Generate multiple plots related to same signal in one figure.

Parameters:

• data (array) – array of arrays to plot.
• fs (int) – the sampling frequency of the signal we are working with.
• plot_rows (int) – number of rows to plot.
• step (int) – array reading step.
• colors (list) – list of colors for the plots.

spafe.utils.vis.plot(y, ylabel, xlabel)

plot an array y.

Parameters:

• y (array) – 1d array to plot.
• ylabel (str) – y-axis label.
• xlabel (str) – x-axis label.

spafe.utils.vis.spectogram(sig, fs)

visualize a the spectogram of the given mono signal.

Parameters:

• sig (array) – a mono audio signal (Nx1) from which to compute features.
• fs (int) – the sampling frequency of the signal we are working with.

spafe.utils.vis.visualize_fbanks(fbanks, ylabel, xlabel)

visualize a matrix including the filterbanks coordinates. Each row corresponds to a filter.

Parameters:

• fbanks (array) – 2d array including the the filterbanks coordinates.
• ylabel (str) – y-axis label.
• xlabel (str) – x-axis label.

spafe.utils.vis.visualize_features(feats, ylabel, xlabel, cmap='viridis')

visualize a matrix including the features coefficients. Each row corresponds to a frame.

Parameters:

• feats (array) – 2d array including the the features coefficients.
• ylabel (str) – y-axis label.
• xlabel (str) – x-axis label.
• cmap (str) – matplotlib colormap to use.