As robots perform manipulation tasks and interact with objects, it is probable that they accidentally drop objects (e.g., due to an inadequate grasp of unfamiliar object) subsequently bounce out their visual fields. To enable recover from such errors, we draw upon the concept object permanence-objects remain in existence even when are not being sensed seen) directly. In particular, developed a ...

The article raises the current problem for Ukrainian society as mechanisms of media regulators, which cover sensitive topics that may adversely affect psychological and moral development children. author reviews scientific research related to negative impact television programs on child justifies need expertise protect children in information space ability defend this right court. main purpose ...

The current study addresses the changing use of audio and visual cues in audio-visual speech perception during adulthood by testing young and middle-aged adults using stimuli with incongruent audio-visual consonants. Young adults gave more audio responses and fewer visual responses than middle-aged adults. Results show no age differences in auditory or visual sensitivity. The discrepancy in use...

Numerous studies have investigated the effectiveness of audio-visual multimodal learning for speech enhancement (AVSE) tasks, seeking a solution that uses visual data as auxiliary and complementary input to reduce noise noisy signals. Recently, we proposed lite (LAVSE) algorithm car-driving scenario. Compared conventional AVSE systems, LAVSE requires less online computation some extent solves u...

Abstract Audio-visual learning, aimed at exploiting the relationship between audio and visual modalities, has drawn considerable attention since deep learning started to be used successfully. Researchers tend leverage these two modalities improve performance of previously considered single-modality tasks or address new challenging problems. In this paper, we provide a comprehensive survey recen...

In this paper, we address the problem of automatic discovery of speech patterns using audio-visual information fusion. Unlike those previous studies based on single audio modality, our work not only uses the acoustic information, but also takes into account the visual features extracted from the mouth region. To improve the effectiveness of the use of multimodal information, several audio-visua...