dc.contributor.author | Alatwi, Aadel | |
dc.contributor.author | So, Stephen | |
dc.contributor.author | Paliwal, Kuldip | |
dc.contributor.editor | Christopher Carignan, Michael D. Tyler | |
dc.date.accessioned | 2017-09-13T00:29:25Z | |
dc.date.available | 2017-09-13T00:29:25Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://hdl.handle.net/10072/100785 | |
dc.description.abstract | In this paper, we propose a perceptually-motivated method for
modifying the speech power spectrum to obtain a set of linear
prediction coding (LPC) parameters that possess good noiserobustness
properties in network speech recognition. Speech
recognition experiments were performed to compare the accuracy
obtained from MFCC features extracted from AMR-coded
speech that use these modified LPC parameters, as well as from
LPCCs extracted from AMR bitstream parameters. The results
show that when using the proposed LP analysis method, the
recognition performance was on average 1.2% - 6.1% better
than when using the conventional LP method, depending on the
recognition task. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.publisher | Australasian Speech Science & Technology Association | |
dc.publisher.place | Australia | |
dc.publisher.uri | http://www.assta.org/?q=sst-conferences | |
dc.relation.ispartofconferencename | SST2016 | |
dc.relation.ispartofconferencetitle | Proceedings of the Sixteenth Australasian International Conference on Speech Science and Technology | |
dc.relation.ispartofdatefrom | 2016-12-06 | |
dc.relation.ispartofdateto | 2016-12-09 | |
dc.relation.ispartoflocation | Sydney, Australia | |
dc.subject.fieldofresearch | Signal Processing | |
dc.subject.fieldofresearchcode | 090609 | |
dc.title | Noise-robust linear prediction cepstral features for network speech recognition | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dc.type.code | E - Conference Publications | |
dc.description.version | Version of Record (VoR) | |
gro.faculty | Griffith Sciences, Griffith School of Engineering | |
gro.rights.copyright | © 2016 ASSTA. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version. | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Paliwal, Kuldip K. | |
gro.griffith.author | So, Stephen | |
gro.griffith.author | Alatwi, Aadel MA. | |