Paper Info
Title
Frequency offset correction in single sideband speech for speaker verification
Abstract
Communication system mismatch represents a major influence for loss in speaker recognition performance. While microphone and handset differences have been considered in the NIST SRE, nonlinear communication system differences, such as modulation/demodulation (Mod/DeMod) carrier drift, have yet to be considered. In this study, an algorithm for estimating and correcting Mod/DeMod frequency offsets distortion in signal sideband modulation (SSB) speech is formulated based on two processing steps. In the first step, the offset of speech can be roughly scaled to a small frequency interval, which eliminates the ambiguity caused by periodicity of the spectrum. The second step performs fine-tuning within the pre-determined interval. For the first time, a statistical framework is developed for unique interval detection, where an innovative acoustic feature is proposed to represent different offsets and state-of-the-art techniques, the total variety method and PLDA, are applied. Speaker recognition experiments on SSB speech obtained from DAPPA RATS corpus show that a significant performance improvement (up to 50% relative improvement in EER) for speaker verification in SSB speech can be obtained by the proposed estimation and compensation method.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6854357
ICASSP
Keywords
Field
DocType
demodulation,modulation-demodulation carrier drift,speaker recognition performance,i-vector,unique interval detection,nonlinear communication system differences,plda,spectrum periodicity,mod-demod frequency offset distortion,statistical analysis,modulation,nist sre,microphone,handset differences,communication system mismatch,signal sideband modulation speech,ssb speech,statistical framework,speaker recognition,frequency offset,pre-determined interval,small frequency interval,ssb,single sideband speech,dappa rats corpus,mfcc,mod-demod carrier drift,speaker verification,frequency offset correction,innovative acoustic feature,amplitude modulation,estimation,mel frequency cepstral coefficient,speech
Sideband,Mel-frequency cepstrum,Demodulation,Computer science,Frequency offset,Speech recognition,Speaker recognition,Compatible sideband transmission,Distortion,Microphone
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.36
References 
Authors
11
3
Name
Order
Citations
PageRank
Hua Xing151.47
Philipos C. Loizou299171.00
John H. L. Hansen33215365.75