Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings

4 Apr 2016Giambattista ParascandoloHeikki HuttunenTuomas Virtanen

In this paper we present an approach to polyphonic sound event detection in real life recordings based on bi-directional long short term memory (BLSTM) recurrent neural networks (RNNs). A single multilabel BLSTM RNN is trained to map acoustic features of a mixture signal consisting of sounds from multiple classes, to binary activity indicators of each event class... (read more)

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