A Comparative Study Of Auditory-Based Front-Ends For Robust Speech Recognition Using The Aurora 2 Database

Author

Flynn, Ronan ; Jones, E.

Author_Institution

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

fYear

2006

fDate

28-30 June 2006

Firstpage

111

Lastpage

116

Abstract

In this paper a comparative study of robust speech recognition using three different auditory-based front-end processors is presented. The front-ends investigated are perceptual linear prediction (PLP), the PEMO algorithm proposed by Tchorz and Kollmeier, and the front-end processor proposed by Li et al. Results obtained using the Aurora 2 connected digit database are presented for each of the three algorithms. For comparison purposes the recognition results obtained using the ETSI basic front-end for distributed speech recognition, defined in standard ES 201 108, are used as a baseline. The HTK-based recogniser provided with the Aurora database is used as a classifier for the front-end evaluation. A structural comparison of the main features and commonalities of the different front-end processors is also included

Keywords

audio databases; hearing; speech recognition; Aurora 2 connected digit database; ETSI basic front-end; HTK-based recogniser; PEMO algorithm; PLP; auditory-based front-end processor; distributed speech recognition; perceptual linear prediction; Speech recognition; connected digits; front-end;

fLanguage

English

Publisher

iet

Conference_Titel

Irish Signals and Systems Conference, 2006. IET

Conference_Location

Dublin

Print_ISBN

0-86341-665-9

Type

conf

Filename

4123879