Recurrent neural networks for polyphonic sound event detection in real life recordings
Recurrent neural networks for polyphonic sound event detection in real life recordings
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 …