Speaker identification and verification using Gaussian mixture speaker models
Speech Communication
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
The NIST speaker recognition evaluation - overview methodology, systems, results, perspective
Speech Communication - Speaker recognition and its commercial and forensic applications
Computations and evaluations of an optimal feature-set for an hmm-based recognizer
Computations and evaluations of an optimal feature-set for an hmm-based recognizer
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Corpora for the evaluation of speaker recognition systems
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Auditory nerve representation as a front-end for speech recognition in a noisy environment
Computer Speech and Language
Automated speech analysis applied to laryngeal disease categorization
Computer Methods and Programs in Biomedicine
Expert Systems with Applications: An International Journal
Speaker identification based on the frame linear predictive coding spectrum technique
Expert Systems with Applications: An International Journal
Data dependency in multiple classifier systems
Pattern Recognition
Selecting features from multiple feature sets for SVM committee-based screening of human larynx
Expert Systems with Applications: An International Journal
Comparison of the impact of some Minkowski metrics on VQ/GMM based speaker recognition
Computers and Electrical Engineering
International Journal of Speech Technology
Wavelet entropy and neural network for text-independent speaker identification
Engineering Applications of Artificial Intelligence
A hybrid data-fusion system using modal data and probabilistic neural network for damage detection
Advances in Engineering Software
Robust speaker identification using ensembles of kernel principal component analysis
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Speaker verification using excitation source information
International Journal of Speech Technology
Audio-Visual feature fusion for speaker identification
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
International Journal of Knowledge-based and Intelligent Engineering Systems
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In this work, we combine the decisions of two classifiers as an alternative means of improving the performance of a speaker recognition system in adverse environments. The difference between these classifiers is in their feature-sets. One system is based on the popular mel-frequency cepstral coefficients (MFCC) and the other on the new parametric feature-sets (PFS) algorithm. The feature-vectors both have mel-scale spectral warping and are computed in the cepstral domain but the feature-sets differs in the use of spectral filters and compressions. The performance of the classifier is not much different in recognition rates terms but they are complementary. This shows that there is information that is not captured in the popular mel-frequency cepstral coefficients (MFCC), and the parametric feature-sets (PFS) is able to add further information for improved performance. Several ways of combining these classifiers gives significant improvements in a speaker identification task using a very large telephone degraded NTIMIT database.