IEEE

Enhancing Emotion Detection Accuracy and Transparency through Multimodal Fusion and Explainable AI

Abstract: In the absence of proper accuracy and transparency in emotion detection systems, this research proposes an advanced Multimodal Emotion recognition framework by using Explainable AI (XAI). A ...
IEEE

Modularized Learning for Hate Speech Detection in Korean: Integrating Emotions and Multi-Faceted Attributes

Abstract: Detecting hate speech is critical both online and offline, particularly on social media, in personal reviews, and during interpersonal conversations. In this study, we present a modularized ...
Daily Post Nigeria

Ayodeji Moses Odukoya: Creating sentiment-driven interfaces that feel human – Engineering emotion

Let's face it: digital interactions can often feel impersonal, cold, and even a little annoying. As frontend developers, ...
GitHub

Real-time brain-computer interface with automated AI training that learns YOUR unique brain patterns.

A complete brain-computer interface system that connects to your Muse 2 EEG headset and detects your emotional state in real-time using AI. Features automated model training so the AI learns YOUR ...
GitHub

chatterbox-tts

A web API for speech-to-text (STT) and text-to-speech (TTS) that integrates with existing engines, supporting real-time audio streaming and modular engine selection. (wip) python command-line ...