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Recurrent Neural Networks (RNN), particularly Long Short Term Memory (LSTM)RNNs, are a popular and very successful method for learning and generatingsequences. However, current generative RNN techniques do not allow real-timeinteractive control of the sequence generation process, thus aren't well suitedfor live creative expression. We propose a method of real-time continuouscontrol and 'steering' of sequence generation using an ensemble of RNNs anddynamically altering the mixture weights of the models. We demonstrate themethod using character based LSTM networks and a gestural interface allowingusers to 'conduct' the generation of text.

Real-time interactive sequence generation and control with Recurrent Neural Network ensembles