Techniques are described herein for tracking and analyzing musical activity (e.g., musical performances) captured by a music controller device. Data indicative of a musical performance by an individual is received. Metadata characterizing the musical data is generated. One or more analytics of the musical data is generated based, at least in part, on the metadata.

A type estimation model generation system is a system that generates a type estimation model used for type estimation of estimating one of a plurality of types to which a user belongs, the system including: a learning data acquiring unit configured to acquire learning time series information that is information of a time series about a plurality of used musical pieces and learning type information representing types to which users who have used the plurality of musical pieces belong that are learning data used for machine learning; and a model generating unit configured to generate the type estimation model by performing machine learning using information based on the learning time series information as an input for the type estimation model in units of musical pieces in order of the time series and information based on the learning type information as an output of the type estimation model.