Lauréline Perotin

Multichannel Speech Separation with Recurrent Neural Networks from High-Order Ambisonics Recordings

We present a source separation system for high-order ambisonics (HOA) contents. We derive a multichannel spatial filter from a mask estimated by a long short-term memory (LSTM) recurrent neural network. We combine one channel of the mixture with the outputs of basic HOA beamformers as inputs to the…