This paper presents a multimodal emotion recognition system that is capable of preventing depression. It consists of detecting persistent negative emotions for early detection of depression. Our ...

This API utilizes a pre-trained model for emotion recognition from audio files. It accepts audio files as input, processes them using the pre-trained model, and returns the predicted emotion along ...

A study published in Future Internet explored the use of multimodal large language models (MLLMs) for emotion recognition from videos. The researchers combined visual and acoustic data to test MLLMs ...

Emotion analysis and recognition has become an interesting topic of research among the computer vision research community. In this paper, we first present the emoF-BVP database of multimodal (face, ...

For example, Poria et al. (2016) proposed a multimodal classifier that encodes speech, voice tone, and facial expressions for emotion recognition, using a temporal convolutional neural network.

“Traditionally, sentiment analysis focuses on text and is used for tasks like online hate speech detection and customer opinion mining. Emotion recognition from speech can be applied to AI-assisted ...

All 23 Python 9 Jupyter Notebook 8 HTML 1. declare-lab / MELD. Star 919. Code ... paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion. bert emotion-recognition ...