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ICASSP
2008
IEEE
13 years 11 months ago
Robust speaker identification using combined feature selection and missing data recognition
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...
Daniel Pullella, Marco Kühne, Roberto Togneri
ICASSP
2008
IEEE
13 years 11 months ago
Towards the use of full covariance models for missing data speaker recognition
This work investigates the use of missing data techniques for noise robust speaker identification. Most previous work in this field relies on the diagonal covariance assumption ...
Marco Kühne, Daniel Pullella, Roberto Togneri...
IKE
2008
13 years 6 months ago
Text-independent Speaker Identification Based on MAP Channel Compensation and Pitch-dependent Features
One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speake...
JiQing Han, RongChun Gao
ICASSP
2009
IEEE
13 years 2 months ago
High improvement of speaker identification and verification by combining MFCC and phase information
In conventional speaker recognition methods based on MFCC, phase information has been ignored. We proposed a method that integrated the phase information with MFCC on a speaker id...
Longbiao Wang, Shinji Ohtsuka, Seiichi Nakagawa
ICASSP
2008
IEEE
13 years 11 months ago
Mutual features for robust identification and verification
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Heiko Claussen, Justinian Rosca, Robert I. Damper