Speech dereverberation using NMF with regularized room impulse response
Nikhil Mohanan, Rajbabu Velmurugan, Preeti Rao
Abstract
In this paper, various regularizations on the room impulse response (RIR) are proposed to obtain better single-channel speech dereverberation in the non-negative matrix factorization (NMF) framework. The regularizations on the RIR are motivated by the spectral domain representation of the RIR. To obtain better estimates of the RIR and clean speech, we propose three modifications (i) to obtain a sparse RIR (ii) a frequency envelop constrained RIR and (iii) to include the early part of the RIR. The performance of the proposed regularizers are evaluated by considering speech enhancement measures. While it is observed that the regularizers lead to an improved estimate of the RIR, they do not necessarily lead to speech enhancement in all the cases. For the experiments conducted using the RIRs from the REVERB 2014 challenge and sentences from the TIMIT database, the regularizer that includes the early part of the RIR shows reasonable improvement in speech enhancement measures.
BibTeX
@inproceedings{icassp2017_speechdereverber,
title = {Speech dereverberation using NMF with regularized room impulse response},
author = {Nikhil Mohanan and Rajbabu Velmurugan and Preeti Rao},
booktitle = {ICASSP 2017},
year = {2017}
}