import matplotlib.pyplot as plt
plt.figure()
plt.hist(speaker_counts.values(), bins=20)
plt.ylabel("Speakers")
plt.xlabel("Examples")
plt.show()

The histogram reveals that approximately one-third of the speakers in the dataset have fewer than 100 examples, while 
around ten speakers have more than 500 examples. To improve training efficiency and balance the dataset, we can limit 
the data to speakers with between 100 and 400 examples.