Add to ORKGDehak N., Plchot O., Bahari M.H., Burget L. , Van hamme H., Dehak R., ''GMM weights adaptation based on subspace approaches for speaker verification'', Odyssey 2014 - the speaker and language recognition workshop , pp. 48-53, June 16-19, 2014, Joensuu, Finland.status: publishe
Abstract—Recent studies show that Gaussian mixture model (GMM) weights carry less, yet complimentary...
Despite intuitive expectation and experimental evidence that phonemes contain useful speaker discrim...
In recent years, adaptation techniques have been given special focus in speaker recognition tasks, m...
This paper presents Subspace Gaussian Mixture Model (SGMM) approach employed as a probabilistic gene...
Dehak N., Plchot O., Bahari M.H., Burget L. , Van hamme H., Dehak R., ''GMM weights adaptation based...
This paper examines combining both relevance MAP and subspace speaker adaptation processes to train ...
Abstract—This paper addresses the issue of speaker variability and session variability in text-indep...
Abstract—This paper addresses the issue of speaker variability and session variability in text-indep...
In most of state-of-the-art speech recognition systems, Gaussian mixture models (GMMs) are used to ...
This paper investigates employment of Subspace Gaussian Mixture Models (SGMMs) for acoustic model ad...
This report proposes a novel approach for Gaussian Mixture Model (GMM) weights decomposition and ada...
A novel speaker adaptation algorithm based on Gaussian mixture weight adaptation is described. A sma...
We describe a novel fast speaker adaptation algorithm for large vocabulary speech recognition system...
In this paper, we describe a novel speaker adaptation algorithm based on Gaussian mixture weight ada...
International audienceMost state-of-the-art speaker recognition systems are based on discriminative ...
Abstract—Recent studies show that Gaussian mixture model (GMM) weights carry less, yet complimentary...
Despite intuitive expectation and experimental evidence that phonemes contain useful speaker discrim...
In recent years, adaptation techniques have been given special focus in speaker recognition tasks, m...
This paper presents Subspace Gaussian Mixture Model (SGMM) approach employed as a probabilistic gene...
Dehak N., Plchot O., Bahari M.H., Burget L. , Van hamme H., Dehak R., ''GMM weights adaptation based...
This paper examines combining both relevance MAP and subspace speaker adaptation processes to train ...
Abstract—This paper addresses the issue of speaker variability and session variability in text-indep...
Abstract—This paper addresses the issue of speaker variability and session variability in text-indep...
In most of state-of-the-art speech recognition systems, Gaussian mixture models (GMMs) are used to ...
This paper investigates employment of Subspace Gaussian Mixture Models (SGMMs) for acoustic model ad...
This report proposes a novel approach for Gaussian Mixture Model (GMM) weights decomposition and ada...
A novel speaker adaptation algorithm based on Gaussian mixture weight adaptation is described. A sma...
We describe a novel fast speaker adaptation algorithm for large vocabulary speech recognition system...
In this paper, we describe a novel speaker adaptation algorithm based on Gaussian mixture weight ada...
International audienceMost state-of-the-art speaker recognition systems are based on discriminative ...
Abstract—Recent studies show that Gaussian mixture model (GMM) weights carry less, yet complimentary...
Despite intuitive expectation and experimental evidence that phonemes contain useful speaker discrim...
In recent years, adaptation techniques have been given special focus in speaker recognition tasks, m...