145 search results - page 11 / 29 » Factor analysed hidden Markov models for speech recognition |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an Electro-Magnetic Articulography (EM...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
PRL
2007
14 years 9 months ago
2007
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...