Highly Parallel WaveNet

WaveNet is a deep neural network for generating raw audio waveforms. This paper introduces techniques to significantly speed up WaveNet's training, making it more practical for various audio generation tasks. The improvements involve parallelizing the computation of the WaveNet layers, allowing for faster processing and enabling the model to learn from larger datasets more efficiently. The key idea is to structure the network in a way that computations can be done simultaneously rather than sequentially, leading to substantial time savings.