tpt-adasp/rt-machine-cpp
A C++ framework to build real-time audio ML research prototypes
This framework helps audio researchers rapidly build and test prototypes for machine learning applications that process sound in real-time. It takes raw audio data, applies various signal processing and deep learning models, and outputs predictions or transformations, allowing scientists to experiment with new algorithms efficiently. This is primarily for audio ML researchers or engineers prototyping new real-time sound analysis systems.
Use this if you are an audio ML researcher needing to quickly develop and test real-time audio processing prototypes, especially for embedded systems.
Not ideal if you are looking for an off-the-shelf application or a high-level Python library for general audio tasks.
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C++
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Last pushed
Nov 04, 2025
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