Abstract: This paper presents a multimodal emotion recognition system, which is based on the analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral Coefficients, Filter Bank ...

Abstract: Emotion recognition is a challenging task due to the emotional gap between subjective feeling and low-level audio-visual characteristics. Thus, the development of a feasible approach for ...

The Video Sentiment Analyzer processes video inputs to output sentiment and emotion predictions. It employs a multimodal deep learning model that extracts and combines features from audio, text, and ...

Music training improves audio–visual processing and boosts your mood. Learning a musical instrument provides multisensory training, requiring you to couple visual and auditory cues together. A study ...

extract_audio_features.py: Extract acoustic features over time (either eGeMAPS LLDs or MFCCs + delta + acceleration) using openSMILE (http://audeering.com/technology ...

Automatic story generation from a sequence of images, i.e., visual storytelling, has attracted extensive attention. The challenges mainly drive from modeling rich visually-inspired human emotions, ...

Introduction: Image emotion classification (IEC), which predicts human emotional perception from images, is a research highlight for its wide applications. Recently, most existing methods have focused ...