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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Speech recognition

Papers overview

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2015
2015
Employment of Subspace Gaussian Mixture Models in speaker recognition
This paper presents Subspace Gaussian Mixture Model (SGMM) approach employed as a probabilistic generative model to estimate… (More)
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2014
2014
Subspace Gaussian mixture model for computer-assisted language learning
In computer-assisted language learning (CALL), speech data from non-native speakers are usually insufficient for acoustic… (More)
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2014
2014
Cross-Lingual Subspace Gaussian Mixture Models for Low-Resource Speech Recognition
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
The subspace Gaussian mixture model - A structured model for speech recognition
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
A symmetrization of the Subspace Gaussian Mixture Model
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
Regularized subspace Gaussian mixture models for cross-lingual speech recognition
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
Regularized Subspace Gaussian Mixture Models for Speech Recognition
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
Subspace Gaussian Mixture Models for speech recognition
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
The Symmetric Subspace Gaussian Mixture Model
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
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models
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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