Audio and visual source separation waveforms-1.

<div><p>The growing reliance on video conferencing software brings significant benefits but also introduces challenges, particularly in managing audio quality. In multi-participant settings, ambient noise and interruptions can hinder speaker recognition and disrupt the flow of conversati...

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Main Author:	Mohanaprasad Kothandaraman (21416724) (author)
Other Authors:	Balakrishnan Ramalingam (21416727) (author), Kai Sheng (447841) (author), Aman Verma (354414) (author), Utkarsh Dhagat (21416730) (author), Pranav Parab (21416733) (author), Siddhartha Mallavolu (21416736) (author), Sankar Ganesh (21416739) (author)
Published:	2025
Subjects:	Sociology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified visual source separation telepresence robots applications specific individuals captured methodology effectively isolates human voice separation hinder speaker recognition experimental results demonstrate based feature extractor also introduces challenges background noise suppression managing audio quality ambient noise xlink "> work proposes test accuracy resolution network participant settings noisy environments individual participants growing reliance framework aims enabling control deep learning
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Audio and visual source separation waveforms-1.

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