Abstract | ||
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Music Information Research (MIR) requires musical data in order to test methods and to compare results. Greek music presents a number of unique characteristics that make its musical pieces distinct from popular tracks existing in currently available datasets, leading thus to the MIR requirement of Greek datasets. This work presents the Greek Music Dataset (GMD), a collection of musical information pertaining to Greek musical pieces. GMD is a significant extension of the Greek Audio Dataset by addition of symbolic information, both features and raw MIDI files, inclusion of multi-label manual genre categorisation of the content as well as by extension of the included tracks and balancing of the content in terms of genre. GMD includes information for 1400 Greek tracks, while for each track, the dataset includes pre-computed audio, lyrics & symbolic features for immediate use in MIR tasks, manually annotated labels pertaining to mood & genre styles of music, generic objective metadata, a manually selected MIDI file (available for 500 of the tracks) and a manually selected link to a performance / audio content in YouTube for further research. |
Year | DOI | Venue |
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2015 | 10.1145/2797143.2797175 | EANN Workshops |
Field | DocType | Citations |
Metadata,Musical,Computer science,MIDI,Natural language processing,Artificial intelligence,Lyrics,Multimedia | Conference | 1 |
PageRank | References | Authors |
0.36 | 20 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dimos Makris | 1 | 13 | 3.56 |
Ioannis Karydis | 2 | 115 | 18.95 |
Spyros Sioutas | 3 | 206 | 77.88 |