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ICML
2007
IEEE
14 years 9 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson
CORR
2011
Springer
197views Education» more  CORR 2011»
13 years 8 days ago
Evidence Feed Forward Hidden Markov Model: A New Type of Hidden Markov Model
Michael DelRose, Christian Wagner, Philip Frederic...
ICASSP
2009
IEEE
14 years 3 months ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky
NLPRS
2001
Springer
14 years 1 months ago
Topic Segmentation : A First Stage to Dialog-Based Information Extraction
We study the problem of topic segmentation of manually transcribed speech in order to facilitate information extraction from dialogs. Our approach is based on a combination of mul...
Narjès Boufaden, Guy Lapalme, Yoshua Bengio