The field of artificial intelligence (AI) has gained immense traction over the past decade, producing increasingly successful applications as research strives to understand and exploit neural processing specifics. Nonetheless emotion, despite its demonstrated significance reinforcement, social integration, general development, remains a largely stigmatized consequently disregarded topic by most engineers computer scientists. In this article, we endorse emotion's value for advancement...

The idea of recognizing human emotion through speech (SER) has recently received considerable attention from the research community, mostly due to current machine learning trend. Nevertheless, even most successful methods are still rather lacking in terms adaptation specific speakers and scenarios, evidently reducing their performance when compared humans. In this paper, we evaluate a largescale model for classification emotional states. This been trained speaker iden- tification but is...

Exploration of the physical environment is an indispensable precursor to data acquisition and enables knowledge generation via analytical or direct trialing. Artificial Intelligence lacks exploratory capabilities even most underdeveloped organisms, hindering its autonomy adaptability. Supported by cognitive psychology, this works links human behavior artificial agents endorse self-development. In accordance with reported data, paradigms epistemic achievement emotion are embedded...

Affective systems are getting increasingly more attention from researchers and high-tech companies in order to enable the acknowledgment or adaptation a user's mood. Emotion classification is typically hard problem due number of subtle cues which present human facial body expressions, voiced utterances. Another critical factor that used models tend map emotions into all-or-nothing regions with artificially sharp divisions among them, view rather unsupported field psychology behavioral...

Human beings have developed fantastic abilities to integrate information from various sensory sources exploring their inherent complementarity. Perceptual capabilities are therefore heightened, enabling, for instance, the well-known "cocktail party" and McGurk effects, i.e., speech disambiguation a panoply of sound signals. This fusion ability is also key in refining perception source location, as distinguishing whose voice being heard group conversation. Furthermore, neuroscience has...

Lack of data on which to perform experimentation is a recurring issue in many areas research, particularly machine learning. The inability most automated mining techniques be generalized all types inherently related with their dependency those deems them ineffective against anything slightly different. Meta-heuristics are algorithms attempt optimize some solution independently the type used, whilst classifiers or neural networks focus feature extrapolation and dimensionality reduction fit...

The recognition of emotions is an inherent ability possessed by humans, which has long intrigued many researchers. Primarily due to the possibility its successful emulation and integration in independent systems. Further, speech, being a mixture utterances conveying state mind, proves be suitable candidate from emotionality can inferred, feature variations. This corroborated human beings themselves using this modality for extraction clues. Another important aspect do with communicational...

Adaptability and behavioral diversity are core components of social interactions between humans. Naturally, these traits research should strive to achieve in robotics so agents may be better accepted engage with their user peers. In this paper, we propose a novel activity modulation increase diversity, based on surprise-exploration correlation model, robot undergoing optimization state preference. This framework was tested 21 participants assess preferences as well the impact that action...

Emotionally pleasant experiences trigger repetition in humans whilst their emotional opposite lead to avoidance/refusal of activities. Human interest, a key factor everyday human life, can be quite useful the evaluation participant engagement on activities and optimization, so as maximize interest motivation. A glaring issue however comes from subtle demonstrators associated with which converge onto its complex assessment/quantization. Yet, there is an inherent correlation between provoked...