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Saraga: research datasets of Indian Art Music

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Mendeley Data2024-03-27 更新2024-06-28 收录
下载链接:
https://zenodo.org/record/4301737
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资源简介:
Dataset introduction This repository contains time aligned melody, rhythm, and structural annotations for two large open corpora of Indian Art Music (Carnatic and Hindustani music). The repository contains Carnatic and Hindustani collections in separated zip files, and each collection is organized by songs grouped by artist concerts/live performances. This organization follows the structure generated by downloading the data using the scripts available at the dataset Github repository: https://github.com/MTG/saraga. Moreover, there is a part of the Carnatic collection, 168 tracks to be specific, that counts with multitrack audio files apart from the mix audio. The considered instruments are: Ghatam, Mridangam, Violin, Voice and Secondary Voice. Annotations in the dataset Section and tempo annotations stored as start and end timestamps together with the name of the section and tempo during the section (in a separate file). Sama annotations referring to rhythmic cycle boundaries stored as timestamps. Phrase annotations stored as timestamps and transcription of the phrases using solfège symbols ({S, r, R, g, G, m, M, P, d, D, n, N}). Audio features automatically extracted and stored: pitch and tonic. For more information about the dataset tracks and annotations, please refer to the Saraga website: https://mtg.github.io/saraga/ Using this dataset We are interested in knowing if you find our datasets useful! If you use our dataset please email us at mtg-info@upf.edu and tell us about your research. *Please note that you can also use this dataset through the MIRDATA library (https://github.com/mir-dataset-loaders/mirdata), where this dataset is in the list of available datasets.
创建时间:
2023-06-28
搜集汇总
数据集介绍
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背景与挑战
背景概述
Saraga是一个专注于印度艺术音乐(包括Carnatic和Hindustani风格)的研究数据集,提供时间对齐的旋律、节奏和结构标注,以及自动提取的音频特征如音高和主音。该数据集包含按艺术家音乐会分组的歌曲,其中Carnatic部分还包含168首曲目的多轨音频文件(如Ghatam、Mridangam等乐器),适用于音乐信息检索和分析。数据集发布于2018年,采用开放许可,可通过GitHub和MIRDATA库访问。
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