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» Computational Model of Speech Understanding
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NAACL
2010
15 years 1 months ago
Unsupervised Model Adaptation using Information-Theoretic Criterion
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
Ariya Rastrow, Frederick Jelinek, Abhinav Sethy, B...
136
Voted
NAACL
2010
15 years 1 months ago
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions
We describe a method of incorporating taskspecific cost functions into standard conditional log-likelihood (CLL) training of linear structured prediction models. Recently introduc...
Kevin Gimpel, Noah A. Smith
151
Voted
MMM
2003
Springer
166views Multimedia» more  MMM 2003»
15 years 8 months ago
Emotional Communication with Virtual Humans
In this paper, we present our approach to modelling perceptive 3D virtual characters with emotion and personality. The characters are powered by a dialogue system that consists of...
Arjan Egges, Sumedha Kshirsagar, Xuan Zhang, Nadia...
ICASSP
2010
IEEE
15 years 3 months ago
Latent-variable decomposition based dereverberation of monaural and multi-channel signals
We present an algorithm to dereverberate single- and multi-channel audio recordings. The proposed algorithm models the magnitude spectrograms of clean audio signals as histograms ...
Rita Singh, Bhiksha Raj, Paris Smaragdis
INTERSPEECH
2010
14 years 10 months ago
Efficient HMM-based estimation of missing features, with applications to packet loss concealment
In this paper, we present efficient HMM-based techniques for estimating missing features. By assuming speech features to be observations of hidden Markov processes, we derive a mi...
Bengt J. Borgström, Per Henrik Borgström...