145 search results - page 18 / 29 » Factor analysed hidden Markov models for speech recognition |
CSL
2007
Springer
13 years 9 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 ...
ICASSP
2011
IEEE
13 years 1 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
14 years 4 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
14 years 4 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 ...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...