Mobile AI with ONNX Runtime: How to Build Real-Time Noise Suppression That Works

TL;DR


Summary:
- This article discusses the use of ONNX Runtime, an open-source AI inference engine, to build a real-time noise suppression model for mobile devices.
- The author explains how they used ONNX Runtime to deploy a pre-trained noise suppression model on a mobile device, allowing for efficient and low-latency audio processing.
- The article provides step-by-step instructions on how to integrate the ONNX Runtime-based noise suppression model into a mobile application, including details on model conversion, deployment, and performance optimization.

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