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from dagshub.streaming import DagsHubFilesystem
fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/covers-br-dataset")
fs.listdir("s3://covers-song-br")
CoversBR is the first large audio database with, predominantly, Brazilian music for the tasks of Covers Song Identification (CSI) and Live Song Identifications (LSI). Due to copyright restrictions audios of the songs cannot be made available, however metadata and files of features have public access. Audio streamings captured from radio and TV channels for the live song identification task will be made public. CoversBR is composed of metadata and features extracted from 102298 songs, distributed in 26366 groups of covers/versions, with an average of 3.88 versions per group. The entire collection adds up to a total of approximately 7070 hours and the average song length is 240 seconds (4 minutes).
CoversBR is the first large audio database with, predominantly, Brazilian music for the tasks of Covers Song Identification (CSI) and Live Song Identifications (LSI). Due to copyright restrictions audios of the songs cannot be made available, however metadata and files of features have public access. Audio streamings captured from radio and TV channels for the live song identification task will be made public. CoversBR is composed of metadata and features extracted from 102298 songs, distributed in 26366 groups of covers/versions, with an average of 3.88 versions per group. The entire collection adds up to a total of approximately 7070 hours and the average song length is 240 seconds (4 minutes).
New metadata, songs features files and audio streamings for live song identification will be added as soon as available.
Dirceu G Silva
aws-pds, copyright monitoring, cover song identification, live song identification, music, music features dataset, music information retrieval, music recognition
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Are you sure you want to delete this access key?
Are you sure you want to delete this access key?