An overview of text-independent speaker recognition: From features to supervectors
T Kinnunen, H Li - Speech communication, 2010 - Elsevier
This paper gives an overview of automatic speaker recognition technology, with an
emphasis on text-independent recognition. Speaker recognition has been studied actively …
emphasis on text-independent recognition. Speaker recognition has been studied actively …
Fusion of heterogeneous speaker recognition systems in the STBU submission for the NIST speaker recognition evaluation 2006
N Brummer, L Burget, J Cernocky… - … on Audio, Speech …, 2007 - ieeexplore.ieee.org
This paper describes and discusses the" STBU" speaker recognition system, which
performed well in the NIST Speaker Recognition Evaluation 2006 (SRE). STBU is a …
performed well in the NIST Speaker Recognition Evaluation 2006 (SRE). STBU is a …
Analysis of feature extraction and channel compensation in a GMM speaker recognition system
In this paper, several feature extraction and channel compensation techniques found in state-
of-the-art speaker verification systems are analyzed and discussed. For the NIST SRE 2006 …
of-the-art speaker verification systems are analyzed and discussed. For the NIST SRE 2006 …
Explicit modelling of session variability for speaker verification
R Vogt, S Sridharan - Computer Speech & Language, 2008 - Elsevier
This article describes a general and powerful approach to modelling mismatch in speaker
recognition by including an explicit session term in the Gaussian mixture speaker modelling …
recognition by including an explicit session term in the Gaussian mixture speaker modelling …
Enhancing segment-based speech emotion recognition by iterative self-learning
Despite the widespread utilization of deep neural networks (DNNs) for speech emotion
recognition (SER), they are severely restricted due to the paucity of labeled data for training …
recognition (SER), they are severely restricted due to the paucity of labeled data for training …
Compensation of nuisance factors for speaker and language recognition
F Castaldo, D Colibro, E Dalmasso… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
The variability of the channel and environment is one of the most important factors affecting
the performance of text-independent speaker verification systems. The best techniques for …
the performance of text-independent speaker verification systems. The best techniques for …
Modelling session variability in text-independent speaker verification
R Vogt, B Baker, S Sridharan - … /Interspeech: Proceedings of the …, 2005 - eprints.qut.edu.au
Presented is an approach to modelling session variability for GMM-based text-independent
speaker verification incorporating a constrained session variability component in both the …
speaker verification incorporating a constrained session variability component in both the …
Experiments in session variability modelling for speaker verification
R Vogt, S Sridharan - 2006 IEEE International Conference on …, 2006 - ieeexplore.ieee.org
Presented is an approach to modelling session variability for GMM-based text-independent
speaker verification incorporating a constrained session variability component in both the …
speaker verification incorporating a constrained session variability component in both the …
STBU system for the NIST 2006 speaker recognition evaluation
This paper describes STBU 2006 speaker recognition system, which performed well in the
NIST 2006 speaker recognition evaluation. STBU is consortium of 4 partners: Spescom …
NIST 2006 speaker recognition evaluation. STBU is consortium of 4 partners: Spescom …
Maximum-likelihood linear regression coefficients as features for speaker recognition
MF Font - 2009 - theses.hal.science
The goal of this thesis is to find new and efficient features for speaker recognition. We are
mostly concerned with the use of the Maximum-Likelihood Linear Regression (MLLR) family …
mostly concerned with the use of the Maximum-Likelihood Linear Regression (MLLR) family …