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Robust distributed speech recognition using speech enhancement
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DOI：10.1109/TCE.2008.4637616.png)
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The issue of robustness in the presence of noise is regarded as a significant bottleneck in the commercialisation of speech recognition products, particularly, in mobile environments. This paper examines the use an auditory model combined with a speech enhancement algorithm as a robust front-end for a Distributed Speech Recognition (DSR) system, whereby front-end functionality is implemented on a limited-resource consumer device like a mobile phone, while back-end classifier functionality is carried out by a remote server(1).
Keyword:
distributed speech recognition
speech enhancement
auditory front-end
期刊
IF:
10.9
论文数:
5.3K
被引数:
6.8K
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