Paper Info
Title
Band-pass filtering of the time sequences of spectral parameters for robust wireless speech recognition
Abstract
In this paper we address the problem of automatic speech recognition when wireless speech communication systems are involved. In this context, three main sources of distortion should be considered: acoustic environment, speech coding and transmission errors. Whilst the first one has already received a lot of attention, the last two deserve further investigation in our opinion. We have found out that band-pass filtering of the recognition features improves ASR performance when distortions due to these particular communication systems are present. Furthermore, we have evaluated two alternative configurations at different bit error rates (BER) typical of these channels: band-pass filtering the LP-MFCC parameters or a modification of the RASTA-PLP using a sharper low-pass section perform consistently better than LP-MFCC and RASTA-PLP, respectively.
Year
DOI
Venue
2006
10.1016/j.specom.2006.07.007
Speech Communication
Keywords
Field
DocType
Robust speech recognition,Wireless speech recognition,Transmission errors,Modulation spectrum,RASTA-PLP
Speech processing,Wireless,Speech coding,Pattern recognition,Voice activity detection,Computer science,Communications system,Filter (signal processing),Feature extraction,Speech recognition,Artificial intelligence,Bit error rate
Journal
Volume
Issue
ISSN
48
10
0167-6393
Citations 
PageRank 
References 
6
0.60
17
Authors
4
Name
Order
Citations
PageRank
Jesús Vicente-Peña181.73
j maciasguarasa29219.30
Carmen Peláez-moreno313022.07
Fernando Díaz-de-María420132.14