249 search results - page 2 / 50 » Subspace Gaussian Mixture Models for speech recognition |
INTERSPEECH
2010
13 years 4 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
INTERSPEECH
2010
13 years 4 months ago
2010
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
ICPR
2004
IEEE
14 years 11 months ago
2004
IEEE
Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper investigates using Gaussian Mixture Model (GMM) based vowel duration features for automated assessment of non-native speech. Two different types of models were compared...