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» Signal Processing in Large Systems: a New Paradigm
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ICASSP
2008
IEEE
14 years 2 months ago
An unsupervised web-based topic language model adaptation method
This paper focuses on a solution to better adapt ASR systems, whose language models (LM) are usually trained on topic-independent corpora, to new topics, in particular in the case...
Gwénolé Lecorvé, Guillaume Gr...
ICASSP
2008
IEEE
14 years 2 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
ICA
2007
Springer
14 years 2 months ago
Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohi...
ICASSP
2010
IEEE
13 years 8 months ago
A comparison of approximate Viterbi techniques and particle filtering for data estimation in digital communications
We consider trellis-based algorithms for data estimation in digital communication systems. We present a general framework which includes approximate Viterbi algorithms like the M-...
Steffen Barembruch
ICASSP
2011
IEEE
12 years 12 months ago
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...
Hao Chen, Yu Gong, Xia Hong