Explaining the behavior of intelligent agents such as robots to humans i...
In domains where computational resources and labeled data are limited, s...
Effectively recognising and applying emotions to interactions is a highl...
Social robots able to continually learn facial expressions could
progres...
Ensemble methods, traditionally built with independently trained
de-corr...
The recognition of emotion and dialogue acts enrich conversational analy...
The complexity of bipedal locomotion may be attributed to the difficulty...
Adversarial examples are artificially modified input samples which lead ...
Interactive reinforcement learning has become an important apprenticeshi...
In this paper, we describe KT-Speech-Crawler: an approach for automatic
...
Previous work on emotion recognition demonstrated a synergistic effect o...
The efficient integration of multisensory observations is a key property...
Deep reinforcement learning has recently gained a focus on problems wher...
Most learning algorithms require the practitioner to manually set the va...
Spoken language understanding is one of the key factors in a dialogue sy...
Dialogue act recognition is an important part of natural language
unders...
Recent approaches for dialogue act recognition have shown that context f...
Speech emotion recognition (SER) is an important aspect of effective
hum...
Acoustically expressed emotions can make communication with a robot more...
Acoustic emotion recognition aims to categorize the affective state of t...
Crossmodal conflict resolution is a crucial component of robot sensorimo...