EURASIP Journal on Advances in Signal Processing
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems
The Journal of Machine Learning Research
A real-time trained system for robust speaker verification using relative space of anchor models
Computer Speech and Language
Subspace construction and selection for speaker recognition
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Comparison of speaker adaptation methods as feature extraction for SVM-based speaker recognition
IEEE Transactions on Audio, Speech, and Language Processing
Mismatch modeling and compensation for robust speaker verification
Speech Communication
A comparison of session variability compensation approaches for speaker verification
IEEE Transactions on Information Forensics and Security
Fusion of discriminative and generative scoring criteria in GMM-based speaker verification
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Emotional speaker identification by humans and machines
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Applying emotional factor analysis and I-vector to emotional speaker recognition
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
A multi-resolution multi-classifier system for speaker verification
Expert Systems: The Journal of Knowledge Engineering
Privacy-Preserving speaker authentication
ISC'12 Proceedings of the 15th international conference on Information Security
Multitaper MFCC and PLP features for speaker verification using i-vectors
Speech Communication
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Estimating the total variability space using sparse probabilistic principal component analysis
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Eigenvoice modelling for cross likelihood ratio based speaker clustering: A Bayesian approach
Computer Speech and Language
Fractional Fourier transform based features for speaker recognition using support vector machine
Computers and Electrical Engineering
Maximum Likelihood Acoustic Factor Analysis Models for Robust Speaker Verification in Noise
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
| Hi-index | 0.00 |
We compare two approaches to the problem of session variability in Gaussian mixture model (GMM)-based speaker verification, eigenchannels, and joint factor analysis, on the National Institute of Standards and Technology (NIST) 2005 speaker recognition evaluation data. We show how the two approaches can be implemented using essentially the same software at all stages except for the enrollment of target speakers. We demonstrate the effectiveness of zt-norm score normalization and a new decision criterion for speaker recognition which can handle large numbers of t-norm speakers and large numbers of speaker factors at little computational cost. We found that factor analysis was far more effective than eigenchannel modeling. The best result we obtained was a detection cost of 0.016 on the core condition (all trials) of the evaluation