ibab/tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet for generating raw audio waveforms via neural networks.

This repository provides a TensorFlow implementation of the WaveNet architecture for audio generation. The model uses stacks of causal dilated layers to generate audio samples one at a time, modeling the conditional probability of each next sample given all previous samples. The network employs one-hot encoded quantized audio as input, applies dilated convolutions to capture long-range temporal dependencies, and outputs a softmax distribution over possible sample values for generation.