Studies on noise robust automatic speech recognition

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Journal Title
Journal ISSN
Volume Title
Faculty of Information and Natural Sciences | D4 Julkaistu kehittämis- tai tutkimusraportti taikka -selvitys
Date
2009
Major/Subject
Mcode
Degree programme
Language
en
Pages
79
Series
TKK reports in information and computer science, 19
Abstract
Noise in everyday acoustic environments such as cars, traffic environments, and cafeterias remains one of the main challenges in automatic speech recognition (ASR). As a research theme, it has received wide attention in conferences and scientific journals focused on speech technology. This article collection reviews both the classic and novel approaches suggested for noise robust ASR. The articles are literature reviews written for the spring 2009 seminar course on noise robust automatic speech recognition (course code T-61.6060) held at TKK.
Description
Keywords
noise robustness, automatic speech recognition (ASR)
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Citation
Permanent link to this item
https://urn.fi/urn:nbn:fi:tkk-013055