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» Emotion Recognition from Noisy Speech
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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
2011
IEEE
12 years 11 months ago
Gesture-based Dynamic Bayesian Network for noise robust speech recognition
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...
CLEF
2009
Springer
13 years 5 months ago
Exploiting Speech Recognition Transcripts for Narrative Peak Detection in Short-Form Documentaries
Narrative peaks are points at which the viewer perceives a spike in the level of dramatic tension within the narrative flow of a video. This paper reports on four approaches to na...
Martha Larson, Bart Jochems, Ewine Smits, Roeland ...
AVI
2008
13 years 9 months ago
Exploring emotions and multimodality in digitally augmented puppeteering
Recently, multimodal and affective technologies have been adopted to support expressive and engaging interaction, bringing up a plethora of new research questions. Among the chall...
Lassi A. Liikkanen, Giulio Jacucci, Eero Huvio, To...
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
14 years 25 days ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass