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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…
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Broader (1)
Speech recognition
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Learning Discriminative Video Representations Using Adversarial Perturbations
Jue Wang
,
A. Cherian
European Conference on Computer Vision
2018
Corpus ID: 50781499
Adversarial perturbations are noise-like patterns that can subtly change the data, while failing an otherwise accurate classifier…
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2015
2015
Effect of quaternary benzophenantridine and protopine alkaloids on growth response and gut health of broiler under hot climate management.
A. Reansoi
,
Y. Ruangpanit
,
S. Attamangkune
2015
Corpus ID: 41726566
The aim of this experiment was to investigate the effect of quaternarybenzophenantridine (QBA) and protopine alkaloids (PA…
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2014
2014
Subspace Gaussian mixture model for computer-assisted language learning
R. Tong
,
Boon Pang Lim
,
Nancy F. Chen
,
B. Ma
,
Haizhou Li
IEEE International Conference on Acoustics…
2014
Corpus ID: 5539630
In computer-assisted language learning (CALL), speech data from non-native speakers are usually insufficient for acoustic…
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2014
2014
Improving deep neural networks using state projection vectors of subspace Gaussian mixture model as features
B. MuraliKarthick
,
S. Umesh
Spoken Language Technology Workshop
2014
Corpus ID: 7704227
Recent advancement in deep neural network (DNN) has surpassed the conventional hidden Markov model-Gaussian mixture model (HMM…
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2014
2014
Two-stage speaker adaptation in subspace Gaussian mixture models
Sina Hamidi Ghalehjegh
,
R. Rose
IEEE International Conference on Acoustics…
2014
Corpus ID: 15164681
A two-stage speaker adaptation approach is proposed for the subspace Gaussian mixture model (SGMM) [1] in large vocabulary…
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2012
2012
Application of Subspace Gaussian Mixture Models in Contrastive Acoustic Scenarios
P. Motlícek
,
Philip N. Garner
,
David Imseng
,
F. Valente
2012
Corpus ID: 15061430
This paper describes experimental results of applying Subspace Gaussian Mixture Models (SGMMs) in two completely diverse acoustic…
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2011
2011
Subspace Gaussian Mixture Models for vectorial HMM-states representation
Mohamed Bouallegue
,
D. Matrouf
,
Mickael Rouvier
,
G. Linarès
IEEE Workshop on Automatic Speech Recognition…
2011
Corpus ID: 13357721
In this paper we present a vectorial representation of the HMM states that is inspired by the Subspace Gaussian Mixture Models…
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2009
2009
Growth Effects of Globalization in the Low Income African Countries: A Systems GMM Panel Data Approach
B. Rao
,
K. Vadlamannati
2009
Corpus ID: 154509069
The relationship between globalization and economic growth in the developing countries remains controversial. Liberals argue that…
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2006
2006
Application of Artificial Neural Network (ANN) to PA Lifespan: Forecasting Models
M. Miradi
,
A. Molenaar
The IEEE International Joint Conference on…
2006
Corpus ID: 14413860
More than 60% of the Dutch motorways are covered with porous asphalt (PA) which has many advantages; however, its lifespan is…
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Highly Cited
2004
Highly Cited
2004
A structured group mobility model for the simulation of mobile ad hoc networks
K. Blakely
,
B. Lowekamp
ACM International Workshop on Mobility Management…
2004
Corpus ID: 7401203
Realistic models for node movement are essential in simulating mobile ad hoc networks. Many MANET scenarios are most…
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