Robust distributed speech recognition using speech enhancement

Author

Flynn, Ronan ; Jones, Edward

Author_Institution

Dept. of Electron. Eng., Athlone Inst. of Technol., Athlone

Volume

54

Issue

3

fYear

2008

fDate

8/1/2008 12:00:00 AM

Firstpage

1267

Lastpage

1273

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.

Keywords

speech enhancement; speech recognition; DSR; auditory model; limited-resource consumer device; mobile environments; mobile phone; robust distributed speech recognition system; robust front-end; speech enhancement; Automatic speech recognition; Degradation; Electronic equipment testing; Feature extraction; Hidden Markov models; Mobile handsets; Noise robustness; Speech enhancement; Speech recognition; Telecommunication standards; Distributed Speech Recognition, speech enhancement, auditory front-end;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/TCE.2008.4637616

Filename

4637616