638 search results - page 51 / 128 » Modeling interleaved hidden processes |
ICASSP
2009
IEEE
14 years 5 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
2008
IEEE
14 years 5 months ago
2008
IEEE
We present a framework for speech recognition that accounts for hidden articulatory information. We model the articulatory space using a codebook of articulatory configurations g...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
WACV
2005
IEEE
14 years 4 months ago
2005
IEEE
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
NIPS
2000
14 years 10 days ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....