Channel / handset mismatch evaluation in a biometric speaker verification using shifted delta cepstral features

Authors:
José R. Calvo;Rafael Fernández;Gabriel Hernández
Affiliations:
Advanced Technologies Application Center, Cuba;Advanced Technologies Application Center, Cuba;Advanced Technologies Application Center, Cuba
Venue:
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Year:
2007

Citing 2
Cited 1

Robustness to telephone handset distortion in speaker recognition by discriminative feature design

Speech Communication - Speaker recognition and its commercial and forensic applications
AHUMADA: A large speech corpus in Spanish for speaker characterization and identification

Speech Communication - Speaker recognition and its commercial and forensic applications

Evaluation of Lineal Relation between Shifted Delta Cepstral Features and Prosodic Features in Speaker Verification

CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper examines the application of Shifted Delta Cepstral (SDC) features in biometric speaker verification and evaluates its robustness to channel/handset mismatch due by telephone handset variability. SDC features were reported to produce superior performance to delta features in cepstral feature based Language Identification systems. The result of the experiment reflects superior performance of SDC features regarding to delta features in biometric speaker verification using speech samples from Ahumada Spanish database.