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» Computational Model of Speech Understanding
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NAACL
2010
13 years 8 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...
NAACL
2010
13 years 8 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
MMM
2003
Springer
166views Multimedia» more  MMM 2003»
14 years 3 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
13 years 10 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
13 years 4 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...