253 search results - page 20 / 51 » Robust Speech Recognition Using Neural Networks and Hidden M... |
ICASSP
2008
IEEE
14 years 3 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 ...
TASLP
2002
13 years 8 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, ...
CSL
2002
Springer
13 years 8 months ago
2002
Springer
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
ICASSP
2011
IEEE
13 years 13 days ago
2011
IEEE
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant An...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...