Indian Art Music Raga Recognition Dataset (features)

Rāga recognition datasets comprise two sizable datasets, one for each music tradition, Carnatic music dataset (CMD) and, Hindustani music dataset (HMD).These datasets comprise full length audio recordings and their associated rāga labels. These two datasets can be used to develop and evaluate approaches for performing automatic rāga recognition in Indian art music. To the best of our knowledge, these are the largest and the most comprehensive (in terms of the available metadata) datasets ever used for studying this task. This repository contains the metadata and computed features for the dataset, and shared in open access. To get the audio, please refer to (TODO) and submit your request.

拉格（Rāga）识别数据集包含两个大型数据集，分别对应印度古典音乐的两大传统：卡纳提克音乐（Carnatic Music）数据集（CMD）与印度斯坦尼音乐（Hindustani Music）数据集（HMD）。两类数据集均收录完整时长的音频录音及其对应的拉格标签。这两个数据集可用于开发与评估印度古典音乐自动拉格识别的相关方法。据我们所知，这是目前用于该任务研究的规模最大、内容最全面（以可用元数据维度为衡量标准）的数据集。本仓库包含该数据集的元数据与已计算的特征，并以开放获取的形式共享。若需获取音频文件，请参阅（待补充）并提交申请。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于印度艺术音乐拉格识别的特征数据集，包含Carnatic音乐和Hindustani音乐两个子集，提供音高、主音等元数据特征。它是目前该任务中最大且最全面的数据集，专注于支持自动拉格识别算法的开发和评估，但仅包含特征数据，音频需额外获取。