24d6f5e42d775949e191122091826eefa7bf1246,docs/examples/plot_vocal_separation.py,,,#,34

Before Change

// sphinx_gallery_thumbnail_number = 2

plt.figure(figsize=(12, 8))
plt.subplot(3, 1, 1)
librosa.display.specshow(librosa.amplitude_to_db(S_full[:, idx], ref=np.max),
                         y_axis="log", sr=sr)
plt.title("Full spectrum")
plt.colorbar()

After Change

//////////////////////////////////////////////////////////////////////////////
// Plot a 5-second slice of the spectrum
idx = slice(*librosa.time_to_frames([10, 15], sr=sr))
fig, ax = plt.subplots()
img = librosa.display.specshow(librosa.amplitude_to_db(S_full[:, idx], ref=np.max),
                         y_axis="log", x_axis="time", sr=sr, ax=ax)
fig.colorbar(img, ax=ax)

//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// The wiggly lines above are due to the vocal component.
// Our goal is to separate them from the accompanying

Instances