%0 Generic
%A Hulleman, Sjoerd
%D 2022
%T Data of research project: About the impact of audio quality and codecs on genre classification and BPM recognition in Essentia
%U https://data.4tu.nl/articles/dataset/Data_of_research_project_About_the_impact_of_audio_quality_and_codecs_on_genre_classification_and_BPM_recognition_in_Essentia/18737156/1
%R 10.4121/18737156.v1
%K mir
%K music
%K music information retrieval
%K genre
%K bpm
%K essentia
%K genre classification
%K research
%K music research
%K bpm recognition
%X A dataset of songs used in the Research Project of Q2 2021-2022 at the TU Delft. Research paper was about the impact of audio quality and codecs on genre classification and BPM recognition in Essentia. This dataset has been compiled for data collection from Muziekweb. Muziekweb could provide our research group with music in high quality FLAC format. This was essential to this research, since we were researching the impact of audio quality. FLAC is one of the highest quality (lossless) audio codecs.
%I 4TU.ResearchData