Classifying audio on the GIGA R1 WiFi from purely synthetic data
One of the main difficulties that people encounter when trying to build their edge ML models is gathering a large, yet simultaneously diverse, dataset. Audio models normally require setting up a microphone, capturing long sequences of sounds, and then manually removing bad data from the resulting files. Shakhizat Nurgaliyev’s project, however, eliminates the need for the […]