Abstract
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 of an auditory model combined with a speech enhancement algorithm as a robust front-end for a Distributed Speech Recognition (DSR) system, whereby frontend 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.
Original language | English |
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Pages (from-to) | 1267-1273 |
Number of pages | 7 |
Journal | IEEE Transactions on Consumer Electronics |
Volume | 54 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2008 |
Keywords
- Auditory front-end
- Distributed speech recognition
- Speech enhancement