Heartbeat retains a musical rhythm and music speaks whenever words fail. This paper
provides a systematic review of the papers related to computational musicology. This …

In this paper, we present a data-driven approach for automatically generating South Indian
rhythmic patterns. The method uses a corpus of Carnatic percussion compositions and …

In Hindustani classical music, the tabla plays an important role as a rhythmic backbone and
accompaniment. In applications like computer-based music analysis, learning singing, and …

Grammatical inference in computer music provides us with valuable models for fields such
as algorithmic composition, style modeling, and music theory analysis. Grammars with …

Automatic Melody Generation (AMG) is a burgeoning domain within computational
musicology aimed at autonomously composing musical phrases. Leveraging machine …

Mathematical structures are deeply embedded in the aesthetics of South Indian Carnatic
music. Kōrvais, whichare rhythmic compositions performed in triplets in various parts of a …

Mathematical structures are deeply embedded in the aesthetics of South Indian Carnatic
music. Kōrvais, which are rhythmic compositions performed in triplets in various parts of a …

Music has become an integral part of our lives today. With the digital revolution that has
struck the world and with the growth of computational power, browsing and storage have …

Music signal processing is a sub branch in signal processing which is a promising area
these days. Music analysis based on signal processing techniques paved a new way of …

Abstract Machine Learning and Deep Learning has many real-world applications. Music can
be considered as sequence data and over the recent past, it has become a very famous data …