366 search results - page 8 / 74 » Canonical state models for automatic speech recognition |
73
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
75
Voted
ICIP
2002
IEEE
15 years 11 months ago
2002
IEEE
In this paper we proposed a visual speech recognition network based on Support Vector Machines. Each word of the dictionary is modeled by a set of temporal sequences of visemes. E...
ICMCS
2010
IEEE
14 years 9 months ago
2010
IEEE
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
123
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
TASLP
2002
14 years 9 months ago
2002
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...