DeepMind's WaveNet is a type of feedforward neural network, convolutional neural network (CNN). It is composed of layers of interconnected nodes, CNN uses a raw signal as input and synthesizes an output. The trained network creates new speech-like waveforms at 16,000 samples per second. The output waveforms include realistic breaths and lip smacks.
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Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Seniorn and Koray Kavukcuoglu
WAVENET: A GENERATIVE MODEL FOR RAW AUDIO
Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
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