Last decades witness a huge growth in medical applications, genetic analysis, and in
performance of manufacturing technologies and automatised production systems. A …

Time series analysis is a key technique for extracting and predicting events in domains as
diverse as epidemiology, genomics, neuroscience, environmental sciences, economics, and …

Automatic raga recognition is one of the fundamental computational tasks in Indian art
music. Motivated by the way seasoned listeners identify ragas, we propose a raga …

Deep Learning methods achieve state-of-the-art in many tasks, including vocal pitch
extraction. However, these methods rely on the availability of pitch track annotations without …

Raga is the melodic framework of Indian art music. It is a core concept used in composition,
performance, organization, and pedagogy. Automatic raga recognition is thus a fundamental …

Motivic pattern classification from music audio recordings is a challenging task. More so in
the case of a cappella flamenco cantes, characterized by complex melodic variations, pitch …

Audio signal processing can be integrated with music domain in-order to retrieve contents
within the music signal. Raga is often related to melodic framework in Indian classical music …

Abstract Time Series Data mining is a popular field in data science to discover and extract
useful information from the time series data. Time Series Motif discovery is one of the tasks …

Hindustani music is a performance-driven oral tradition that exhibits the rendition of rich
melodic patterns. In this paper, we focus on generative modeling of singers' vocal melodies …

IN SEARCH OF SAÑC ARAS: TRADITION-INFORMED REPEATED MELODIC PATTERN
RECOGNITION IN CARNATIC MUSIC Page 1 IN SEARCH OF SAÑC ARAS: TRADITION-INFORMED …