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» Emotion recognition using imperfect speech recognition
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ICASSP
2011
IEEE
14 years 1 months ago
Robust speech recognition using dynamic noise adaptation
Dynamic noise adaptation (DNA) [1, 2] is a model-based technique for improving automatic speech recognition (ASR) performance in noise. DNA has shown promise on artificially mixe...
Steven J. Rennie, Pierre L. Dognin, Petr Fousek
CSL
2000
Springer
14 years 9 months ago
Efficient speech recognition using subvector quantization and discrete-mixture HMMS
This paper introduces a new form of observation distributions for hidden Markov models (HMMs), combining subvector quantization and mixtures of discrete distrib utions. Despite w...
Vassilios Digalakis, S. Tsakalidis, Costas Harizak...
TASLP
2008
115views more  TASLP 2008»
14 years 9 months ago
Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
Abstract--This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition ...
Alfred Dielmann, Steve Renals
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
15 years 3 months ago
Web Browser Control Using EMG Based Sub Vocal Speech Recognition
—Subvocal electromyogram (EMG) signal classification is used to control a modified web browser interface. Recorded surface signals from the larynx and sublingual areas below the ...
Chuck Jorgensen, Kim Binsted
ICASSP
2011
IEEE
14 years 1 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang