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» Signal processing tools for speech recognition
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ICASSP
2011
IEEE
12 years 11 months ago
Phoneme recognition using Boosted Binary Features
In this paper, we propose a novel parts-based binary-valued feature for ASR. This feature is extracted using boosted ensembles of simple threshold-based classifiers. Each such cl...
Anindya Roy, Mathew Magimai-Doss, Sébastien...
ICASSP
2011
IEEE
12 years 11 months ago
Deep neural networks for acoustic emotion recognition: Raising the benchmarks
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant An...
André Stuhlsatz, Christine Meyer, Florian E...
ICASSP
2010
IEEE
13 years 7 months ago
Visual emotion recognition using compact facial representations and viseme information
Emotion expression is an essential part of human interaction. Rich emotional information is conveyed through the human face. In this study, we analyze detailed motion-captured fac...
Angeliki Metallinou, Carlos Busso, Sungbok Lee, Sh...
IIS
2004
13 years 9 months ago
Automatic Understanding of Signals
Using computers for different task including enhancement, description and evaluation of signals we typically include three steps: signal processing (for obtaining signal of better ...
Ryszard Tadeusiewicz
TASLP
2008
141views more  TASLP 2008»
13 years 7 months ago
Unsupervised Pattern Discovery in Speech
We present a novel approach to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where t...
A. S. Park, J. R. Glass