153 search results - page 19 / 31 » Bayesian sensing hidden Markov models for speech recognition |
79
Voted
PAMI
2002
14 years 10 months ago
2002
The multimodal nature of speech is often ignored in human-computer interaction, but lip deformations and other body motion, such as those of the head, convey additional information...
86
Voted
CSL
2007
Springer
14 years 11 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
108
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ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
ICPR
2008
IEEE
15 years 5 months ago
2008
IEEE
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
ICASSP
2008
IEEE
15 years 5 months ago
2008
IEEE
The fusion of information from heterogenous sensors is crucial to the effectiveness of a multimodal system. Noise affect the sensors of different modalities independently. A good ...