SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

22 Dec 2016Soroush MehriKundan KumarIshaan GulrajaniRithesh KumarShubham JainJose SoteloAaron CourvilleYoshua Bengio

In this paper we propose a novel model for unconditional audio generation based on generating one audio sample at a time. We show that our model, which profits from combining memory-less modules, namely autoregressive multilayer perceptrons, and stateful recurrent neural networks in a hierarchical structure is able to capture underlying sources of variations in the temporal sequences over very long time spans, on three datasets of different nature... (read more)

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