| Popis: |
The dataset contains feature vector after Principal Component Analysis (PCA) performing, so there are 11 music genres and 19-element vector derived from music excerpts. Originally, a feature vector containing 173 elements was conceived in earlier research studies carried out by the team of authors [1-6]. A collection of 52532 music excerpts described with a set of descriptors obtained through the analysis of 30-second mp3 recordings was gathered in a database called SYNAT. The SYNAT database was realized by the Gdansk University of Technology (GUT) [1],[2]. For the recordings included in the database, the analysis band is limited to 8 kHz due to the music excerpts format, this means that the frequency band used for the parameterization is in the range from 63 to 8000 Hz. The prepared feature vector is used to describe parametrically each signal frame. The original database stores 173‑feature vectors, which in majority are the MPEG-7 standard parameters [7], however we used also the so-called 'dedicated' features, described in several publications. The 173-feature dataset is also available in Most Wiedzy. |
