Real-time audio to digital music note conversion

A system comprising one or more processors and one or more storage media storing one or more computer programs that include instructions, which, when executed by the one or more processors, cause:

• acquiring an input audio signal in real-time at least by sampling the input audio signal, thereby generating a first sequence of samples of an audio stream;
• while generating next samples that are temporally subsequent to the first sequence of samples of the audio stream:
• generating, by one or more machine learning (ML) models, a first window set of music note event probability values, based, at least in part, on the first sequence of samples;
• excluding, from the first window set of music note event probability values, a first leading set of music note event probability values that corresponds to a first leading edge of samples of the first sequence of samples and a first trailing set of music note event probability values that corresponds to a first trailing edge of samples of the first sequence of samples, thereby generating a first filtered window set of music note event probability values;
• wherein the first leading edge of samples of the first sequence of samples includes a number of initial sequence of samples of the first sequence of samples and the first trailing edge of samples of the first sequence of samples includes a number of last sequence of samples of the first sequence of samples;
• based, at least in part, on the first filtered window set of music note event probability values, determining a first sequence set of music note events, which, when reproduced, generates an original audio signal.