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ICANN
2007
Springer
16 years 4 days ago
Multi-dimensional Recurrent Neural Networks
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Alex Graves, Santiago Fernández, Jürge...
SAC
2004
ACM
15 years 11 months ago
Knowledge-based conversational agents and virtual storytelling
Abstract. We describe an architecture for building speech-enabled conversational agents, deployed as self-contained Web services, with ability to provide inference processing on ve...
Paul Tarau, Elizabeth Figa
TSD
2004
Springer
15 years 11 months ago
Modeling Prosodic Structures in Linguistically Enriched Environments
A significant challenge in Text-to-Speech (TtS) synthesis is the formulation of the prosodic structures (phrase breaks, pitch accents, phrase accents and boundary tones) of uttera...
Gerasimos Xydas, Dimitris Spiliotopoulos, Georgios...
TSP
2010
15 years 20 days ago
DOA estimation of quasi-stationary signals with less sensors than sources and unknown spatial noise covariance: a Khatri-Rao sub
In real-world applications such as those for speech and audio, there are signals that are nonstationary but can be modeled as being stationary within local time frames. Such signal...
Wing-Kin Ma, Tsung-Han Hsieh, Chong-Yung Chi
ICASSP
2009
IEEE
16 years 22 days ago
Distributed adaptive estimation of correlated node-specific signals in a fully connected sensor network
We introduce a distributed adaptive estimation algorithm operating in an ideal fully connected sensor network. The algorithm estimates node-specific signals at each node based on...
Alexander Bertrand, Marc Moonen