Performance-based interpreter identification in saxophone audio recordings

Ramírez, Rafael, 1966-; Maestre Gómez, Esteban; Pertusa, Antonio; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier

doi:http://dx.doi.org/10.1109/TCSVT.2007.890862

Performance-based interpreter identification in saxophone audio recordings

Citació

Ramirez R, Maestre E, Pertusa A, Gómez E, Serra X. Performance-based interpreter identification in saxophone audio recordings. In: IEEE Trans Circuits Syst Video Technol. 2007;17(3):356-64. DOI: 10.1109/TCSVT.2007.890862

Resum

We propose a novel approach to the task of identifying performers from their playing styles. We investigate how skilled musicians (Jazz saxophone players in particular) express and communicate their view of the musical and emotional content of musical pieces and how to use this information in order to automatically identify performers. We study deviations of parameters such as pitch, timing, amplitude and timbre both at an inter-note level and at an intra-note level. Our approach to performer identification consists of establishing a performer dependent mapping of inter-note features (essentially a "score" whether or not the score physically exists) to a repertoire of inflections characterized by intra-note features. We present a successful performer identification case study.