Hybrid Meeting

Hybrid meetings, blending in-person and remote participation, are a focus of current research aiming to improve their effectiveness and user experience. Studies are exploring advanced signal processing techniques, such as deep learning models (including recurrent neural networks and transformer-based architectures), to address challenges like echo cancellation, noise reduction, and accurate speech transcription and summarization. This research is driven by the need to enhance engagement, accessibility, and overall meeting productivity in increasingly common hybrid work environments, with applications ranging from improved audio-visual quality to automated meeting recap generation.