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INTRODUCTION | |||
In the course "Acoustic Interfaces" we wrote a C++ Machine-Learning library based on a K-Clustering Algorithm. It's purpose is to classify Microphone Inputs into different frequency based classes. After this cluster (training) process the algorithm is able to classify similiar microphone input in realtime. The algorithm is running on a teensy 4.0 with an audio shield. | In the course "Acoustic Interfaces" we wrote a C++ Machine-Learning library based on a K-Clustering Algorithm. It's purpose is to classify Microphone Inputs into different frequency based classes. After this cluster (training) process the algorithm is able to classify similiar microphone input in realtime. The algorithm is running on a teensy 4.0 with an audio shield. | ||