TY  - CHAP
AU  - Simonetta, Federico
AU  - Llorens, Ana
AU  - Llorens Martín, Ana
AU  - Serrano, Martín
AU  - García-Portugués, Eduardo
AU  - Torrente, Álvaro
AU  - Torrente Sánchez-Guisande, Álvaro José
A4  - International Society for Music Information Retrieval
PY  - 2023
SN  - 978-1-7327299-3-3
UR  - https://hdl.handle.net/20.500.14352/114330
AB  - This paper presents a comprehensive investigation of existing feature extraction tools for symbolic music and contrasts their performance to determine the set of features that best characterizes the musical style of a given music score. In this...
LA  - eng
M2  - 802
PB  - International Society for Music Information Retrieval
KW  - computational musicology
KW  - music information retrieval
TI  - Optimizing feature straction for Symbolic Music
TY  - book part
ER  -