Robust distributed speech recognition using speech enhancement

Ronan Flynn, Edward Jones

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

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 languageEnglish
Pages (from-to)1267-1273
Number of pages7
JournalIEEE Transactions on Consumer Electronics
Volume54
Issue number3
DOIs
Publication statusPublished - 2008

Keywords

  • Auditory front-end
  • Distributed speech recognition
  • Speech enhancement

Fingerprint

Dive into the research topics of 'Robust distributed speech recognition using speech enhancement'. Together they form a unique fingerprint.

Cite this