Audiovisual Zooming

Category Machine Learning
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Tool(s) Python/Pytorch

Audio zooming, a technique aimed at selectively amplifying specific audio signals while minimizing background noise, offers a promising avenue for enhancing targeted audio sources. Traditional methods relying on extensive microphone arrays often encounter practical limitations. This study develops a new audio zooming system designed to focus on target sound sources without the need for complex hardware equipment.

With potential applications ranging from mobile devices to surveillance systems, this research contributes to advancing audio zooming methodologies, offering scalable and adaptable solutions for enhancing targeted audio signals in diverse acoustic environments.