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WaveNet: A Generative Model for Raw Audio
This paper introduces WaveNet, a deep neural network for generating raw audio waveforms. Expand
Mastering the game of Go with deep neural networks and tree search
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. Expand
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Expand
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
This paper introduces Probability Density Distillation, a new method for training a parallel feed-forward network from a trained WaveNet with no significant difference in quality. Expand
Efficient Neural Audio Synthesis
We propose a single-layer recurrent neural network, the WaveRNN, with a dual softmax layer that matches the quality of the state-of-the-art WaveNet model. Expand
Deep content-based music recommendation
We propose to use a latent factor model for recommendation, and predict the latent factors from music audio when they cannot be obtained from usage data. Expand
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
We introduce a new WaveNet-style autoencoder model that conditions an autoregressive decoder on temporal codes learned from the audio waveform. Expand
Lasagne: First release.
End-to-end learning for music audio
We investigate whether end-to-end learning for music audio is feasible using convolutional neural networks to solve an automatic tagging task. Expand
Rotation-invariant convolutional neural networks for galaxy morphology prediction
We present a deep neural network model for galaxy morphology classification which exploits translational and rotational symmetry. Expand