@inproceedings{3d372e8324f644f6b3067a3a201343ff,
title = "Speech enhancement by online non-negative spectrogram decomposition in non-stationary noise environments",
abstract = "Classical single-channel speech enhancement algorithms have two convenient properties: they require pre-learning the noise model but not the speech model, and they work online. However, they often have difficulties in dealing with non-stationary noise sources. Source separation algorithms based on nonnegative spectrogram decompositions are capable of dealing with non-stationary noise, but do not possess the aforementioned properties. In this paper we present a novel algorithm that combines the advantages of both classical algorithms and non-negative spectrogram decomposition algorithms. Experiments show that it significantly outperforms four categories of classical algorithms in non-stationary noise environments.",
keywords = "Nonnegative matrix factorization, Online algorithm, Source separation, Speech enhancement",
author = "Zhiyao Duan and Mysore, {Gautham J.} and Paris Smaragdis",
year = "2012",
language = "English (US)",
isbn = "9781622767595",
series = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012",
pages = "594--597",
booktitle = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012",
note = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 ; Conference date: 09-09-2012 Through 13-09-2012",
}