We also present applications with the collections for music education, understanding, exploration, and discovery. To sustain and grow the collections, we provide a mechanism for both the research and music community to contribute additional data and annotations to the collections. We provide easy access to the audio, metadata, and the annotations in the collections through an API, along with a companion website that has example scripts to facilitate access and use of the data. We describe the tenets and the process of collection, annotation, and organization of the data. A part of the Saraga Carnatic collection also has multitrack recordings, making it a valuable collection for research on melody extraction, source separation, automatic mixing, and performance analysis. The collections are intended to provide audio and ground truth for several music information research tasks and large-scale data-driven analysis in musicological studies. Shared under Creative Commons licenses, they currently form the largest annotated data collections available for computational analysis of Indian Art Music. We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani traditions, comprising audio from vocal concerts, editorial metadata, and time-aligned melody, rhythm, and structure annotations. Focusing on aspects of tempo and rhythm, we demonstrate the value of a computational methodology for the analysis of large music corpora by revealing the range of tempi used in performances, intra-cycle tempo dynamics and percussion accents at different positions of the tāl cycle. They document the dynamic development of tempo throughout a metrical cycle and reveal insights into the flexibility of time in Hindustani music for the first time using quantitative methods on a large set of performances.

Tempo patterns, on the other hand, are computed using reference beat annotations. They reflect percussion patterns that are frequent in the corpus and enable a discussion of the relation between such patterns and the underlying metrical framework, the tāl. Rhythm patterns are obtained by aggregating spectral features over metrical cycles. Typical tempo developments and stress patterns within a metrical cycle are computed, which we refer to as tempo and rhythm patterns, respectively. This article provides insights into aspects of tempo and rhythmic elaboration in Hindustani music, based on a study of a large corpus of recorded performances.

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