Feature selection for classification of music according to expressed emotion
DisciplineMusic, Mind and Technology (maisteriohjelma)Master's Degree Programme in Music, Mind and Technology
Showing items with similar title or keywords.
Hartmann, Martín Ariel (2011)Automatic musical genre classification is an important information retrieval task since it can be applied for practical purposes such as the organization of data collections in the digital music industry. However, this ...
Prezja, Fabi (2018)In the field of artificial intelligence, supervised machine learning enables us to try to develop automatic recognition systems. In music information retrieval, training and testing such systems is possible with a variety ...
Skrypnyk, Iryna (University of Jyväskylä, 2011)
What makes music memorable? : Relationships between acoustic musical features and music-evoked emotions and memories in older adults Salakka, Ilja; Pitkäniemi, Anni; Pentikäinen, Emmi; Mikkonen, Kari; Saari, Pasi; Toiviainen, Petri; Särkämö, Teppo (Public Library of Science (PLoS), 2021)Background and objectives Music has a unique capacity to evoke both strong emotions and vivid autobiographical memories. Previous music information retrieval (MIR) studies have shown that the emotional experience of music ...
Move the way you feel : effects of musical features, perceived emotions, and personality on music-induced movement Burger, Birgitta (University of Jyväskylä, 2013)