Subspace Gaussian Mixture Model

Known as: SGMM 
Subspace Gaussian Mixture Model (SGMM) is an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure… (More)
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2015
2015
This paper presents Subspace Gaussian Mixture Model (SGMM) approach employed as a probabilistic generative model to estimate… (More)
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2014
2014
In computer-assisted language learning (CALL), speech data from non-native speakers are usually insufficient for acoustic… (More)
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2014
2014
This paper studies cross-lingual acoustic modeling in the context of subspace Gaussian mixture models (SGMMs). SGMMs factorize… (More)
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Highly Cited
2011
Highly Cited
2011
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture… (More)
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2011
2011
Last year we introduced the Subspace Gaussian Mixture Model (SGMM), and we demonstrated Word Error Rate improvements on a fairly… (More)
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2011
2011
We investigate cross-lingual acoustic modelling for low resource languages using the subspace Gaussian mixture model (SGMM). We… (More)
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2011
2011
Subspace Gaussian mixture models (SGMMs) provide a compact representation of the Gaussian parameters in an acoustic model, but… (More)
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Highly Cited
2010
Highly Cited
2010
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the… (More)
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2010
2010
This document describes an extension of the Subspace Gaussi an Mixture Model (SGMM). The extension is a symmetrization of t he… (More)
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Highly Cited
2010
Highly Cited
2010
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve… (More)
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