@inproceedings{49ad9be669aa42dd95e7bb54d743f5fb,
title = "Multi-channel noise reduction in noisy environments",
abstract = "Multi-channel noise reduction has been widely researched to reduce acoustic noise signals and to improve the performance of many speech applications in noisy environments. In this paper, we first introduce the state-of-the-art multi-channel noise reduction methods, especially beamforming based methods, and discuss their performance limitations. Subsequently, we present a multi-channel noise reduction system we are developing that consists of localized noise suppression by microphone array and non-localized noise suppression by post-filtering. Experimental results are also presented to show the benefits of our developed noise reduction system with respect to the traditional algorithms in terms of speech recognition rate. Some suggestions are finally presented for the further research.",
keywords = "Beamforming technique, Localized noise, Multi-channel noise reduction, Non-localized noise, Speech recognition",
author = "Junfeng Li and Masato Akagi and Y{\^o}iti Suzuki",
year = "2006",
month = dec,
day = "1",
doi = "10.1007/11939993_30",
language = "English",
isbn = "3540496653",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "258--269",
booktitle = "Chinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings",
note = "5th International Symposium on Chinese Spoken Language Processing, ISCSLP 2006 ; Conference date: 13-12-2006 Through 16-12-2006",
}