De-reverberation using DNN for Non-Reference Reverberant Speech Intelligibility Estimation
Kazushi Nakazawa, Kazuhiro Kondo · 2018
Reverberation distorts speech leading to degradation of speech intelligibility and speech quality. We have been investigating on methods to predict the speech intelligibility of reverberant speech. This normally requires clean speech, which is often not available. In this paper we attempt to use Deep neural networks (DNNs) to reconstruct clean speech from distorted speech. This approach proved to be effective for dereverberation in various reverberant environments.