Real-time Single-channel Speech Enhancement with Recurrent Neural Networks

Single-channel speech enhancement using deep neural networks (DNNs) has shown promising progress in recent years. In this work, we explore several aspects of neural network training that impact the objective quality of enhanced speech in a real-time setting. In particular, we base all studies on a novel recurrent neural network that enhances full-band short-time speech spectra on a single-frame-in, single-frame-out basis, a framework that is adopted by most classical signal processing methods. We propose tw