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» Automatic Understanding of Signals
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ICASSP
2008
IEEE
14 years 1 months ago
Frame-based acoustic feature integration for speech understanding
With the purpose of improving Spoken Language Understanding (SLU) performance, a combination of different acoustic speech recognition (ASR) systems is proposed. State a-posteriori...
Loic Barrault, Christophe Servan, Driss Matrouf, G...
ICASSP
2008
IEEE
14 years 1 months ago
Improving Spoken Language Understanding with information retrieval and active learning methods
In the context of deployed spoken dialogue telecom services, we introduce a preprocessor called Fiction into the Spoken Language Understanding (SLU) component. It acts as an inter...
Isabelle Jars, Franck Panaget
IJCAI
1997
13 years 8 months ago
Understanding Three Simultaneous Speeches
Understanding three simultaneous speeches is proposed as a challenge problem to foster artificial intelligence, speech and sound understanding or recognition, and computational au...
Hiroshi G. Okuno, Tomohiro Nakatani, Takeshi Kawab...
AVSS
2009
IEEE
13 years 10 months ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
ICASSP
2010
IEEE
13 years 7 months ago
Comparing the contributions of context and prosody in text-independent dialog act recognition
Automatic segmentation and classification of dialog acts (DAs; e.g., statements versus questions) is important for spoken language understanding (SLU). While most systems have re...
Kornel Laskowski, Elizabeth Shriberg