Our project focuses on developing a method to encode and analyze the rhythmic content of musical
recordings. The primary objective is to create an embedding that captures the nuances of musical grooves—
patterns of rhythm and timing—using classical signal processing and clustering techniques. This encoding
enables objective comparisons across and within musical genres, in hopes of discovering new musical insights,
and applications in music recommendation engines.