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» Universal background model based speech recognition
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ICASSP
2008
IEEE
15 years 4 months ago
Multimodal information fusion using the iterative decoding algorithm and its application to audio-visual speech recognition
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 ...
Shankar T. Shivappa, Bhaskar D. Rao, Mohan M. Triv...
ICCV
2005
IEEE
15 years 3 months ago
Visual Speech Recognition with Loosely Synchronized Feature Streams
We present an approach to detecting and recognizing spoken isolated phrases based solely on visual input. We adopt an architecture that first employs discriminative detection of ...
Kate Saenko, Karen Livescu, Michael Siracusa, Kevi...
INTERSPEECH
2010
14 years 4 months ago
A discriminative splitting criterion for phonetic decision trees
Phonetic decision trees are a key concept in acoustic modeling for large vocabulary continuous speech recognition. Although discriminative training has become a major line of rese...
Simon Wiesler, Georg Heigold, Markus Nußbaum...
IJCNN
2006
IEEE
15 years 3 months ago
Reservoir-based techniques for speech recognition
— 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...
David Verstraeten, Benjamin Schrauwen, Dirk Stroob...
ICASSP
2009
IEEE
15 years 4 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...