Showing items with similar title or keywords.

• Testing a spectral-based feature set for audio genre classification 

  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 ...

• Developing and testing sub-band spectral features in music genre and music mood machine learning 

  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 ...

• Unstable feature relevance in classification tasks 

  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 ...

• Playing with feeling : the influence of felt and perceived emotions on movement features in piano performances 

  Czepiel, Anna (2019)

  This thesis studied the influence of - and combinations of - felt and perceived emotion on performer movement. Pianists played a piece with which they had an emotional connection in the following conditions: Technical ...