TY - JOUR AU - Trohidis, Konstantinos AU - Tsoumakas, Grigorios AU - Kalliris, George AU - Vlahavas, Ioannis PY - 2011 DA - 2011/09/18 TI - Multi-label classification of music by emotion JO - EURASIP Journal on Audio, Speech, and Music Processing SP - 4 VL - 2011 IS - 1 AB - This work studies the task of automatic emotion detection in music. Music may evoke more than one different emotion at the same time. Single-label classification and regression cannot model this multiplicity. Therefore, this work focuses on multi-label classification approaches, where a piece of music may simultaneously belong to more than one class. Seven algorithms are experimentally compared for this task. Furthermore, the predictive power of several audio features is evaluated using a new multi-label feature selection method. Experiments are conducted on a set of 593 songs with six clusters of emotions based on the Tellegen-Watson-Clark model of affect. Results show that multi-label modeling is successful and provide interesting insights into the predictive quality of the algorithms and features. SN - 1687-4722 UR - https://doi.org/10.1186/1687-4722-2011-426793 DO - 10.1186/1687-4722-2011-426793 ID - Trohidis2011 ER -