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Chapter 5
Figure 30: WaveNet stack, visualized
A method for performing a sampling in parallel has been proposed in Parallel
WaveNet [10], which achieves a three orders-of-magnitude speed up. This uses two
networks as a WaveNet teacher network, which is slow but ensures a correct result,
and a WaveNet student network, which tries to mimic the behavior of the teacher;
this can prove to be less accurate but is faster. This approach is similar to the one
used for GANs (see Chapter 6, Generative Adversarial Networks) but the student does
not try to fool the teacher as typically happens in GANs. In fact, the model is not just
quicker, but also higher fidelity, capable of creating waveforms with 24,000 samples
per second:
Figure 31: Parallel WaveNet, visualized
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