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 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.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | Speech enhancement for Distributed Speech Recognition in mobile devices |
| Publication status | Published - 1 Aug 2008 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Flynn, R,Jones, E,