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ICASSP
2010
IEEE
15 years 6 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
JSW
2008
116views more  JSW 2008»
15 years 6 months ago
A Task-oriented Approach to Search Engine Usability Studies
Usability is a multi-dimensional characteristic of a computer system. This paper focuses on usability as a measurement of interaction between the user and the system. The research ...
Isak Taksa, Amanda Spink, Robert Goldberg
TCS
2008
15 years 6 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas
AAI
2000
122views more  AAI 2000»
15 years 6 months ago
High-Level Interpretation in Virtual Environments
: As Virtual Environments applications become more complex, there is a need to interpret user interaction in terms of high-level concepts. In this paper, we investigate the relatio...
Marc Cavazza, Ian Palmer
EELC
2006
121views Languages» more  EELC 2006»
15 years 10 months ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...