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MLMI
2007
Springer
14 years 2 months ago
Binaural Speech Separation Using Recurrent Timing Neural Networks for Joint F0-Localisation Estimation
A speech separation system is described in which sources are represented in a joint interaural time difference-fundamental frequency (ITD-F0) cue space. Traditionally, recurrent t...
Stuart N. Wrigley, Guy J. Brown
ICVS
2003
Springer
14 years 1 months ago
Recurrent Bayesian Network for the Recognition of Human Behaviors from Video
Abstract. We propose an original bayesian approach to recognize human behaviors from video streams. Mobile objects and their visual features are computed by a vision module. Then, ...
Nicolas Moënne-Loccoz, François Br&eac...
BIOADIT
2004
Springer
13 years 11 months ago
Biologically Plausible Speech Recognition with LSTM Neural Nets
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
Alex Graves, Douglas Eck, Nicole Beringer, Jü...
KAIS
2006
229views more  KAIS 2006»
13 years 7 months ago
Call classification using recurrent neural networks, support vector machines and finite state automata
Our objective is spoken language classification for helpdesk call routing using a scanning understanding and intelligent system techniques. In particular, we examine simple recurre...
Sheila Garfield, Stefan Wermter
AGI
2011
12 years 11 months ago
Systematically Grounding Language through Vision in a Deep, Recurrent Neural Network
Human intelligence consists largely of the ability to recognize and exploit structural systematicity in the world, relating our senses simultaneously to each other and to our cogni...
Derek Monner, James A. Reggia