Presenting software for real-time noise suppression on low-cost edge devices using deep learning, this case study details noise suppression challenges and how they were addressed by Ignitarium’s engineers as a part of the solution.

Real-time Noise Suppression on Edge Devices Using a Practical AI-based Approach | Case Study

Real-time Noise Suppression on Edge Devices Using a Practical AI-based Approach

With background noise in ambient environments becoming one of the biggest challenges in today’s work-from-home situation, a noise suppression solution is undoubtedly the need of the hour.


This case study presents details of deep learning-based real-time noise suppression software that can run on low-cost micro-controllers, developed by Ignitarium engineers using Arm technology.

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