olilarkin/iPlug2OnnxRuntime
ML Audio plug-in example using iPlug2 & ONNX Runtime
This is an example for audio developers looking to integrate machine learning models into their audio applications or plugins. It demonstrates how to take a trained neural network model for audio processing and embed it directly into an application. The result is an audio plugin that can apply advanced sound transformations, useful for tasks like virtual instrument creation or effects processing. Audio plugin developers and embedded audio engineers would use this.
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Use this if you are an audio developer wanting to build a custom audio plugin or application that incorporates machine learning models for sound processing.
Not ideal if you are an end-user musician or producer looking for a ready-to-use audio effect, as this project requires development and compilation.
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Python
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Last pushed
Dec 02, 2023
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