153 search results - page 1 / 31 » Bayesian sensing hidden Markov models for speech recognition |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
FLAIRS
2008
13 years 7 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
ICASSP
2011
IEEE
12 years 8 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...