Note:
This bibliographic page is archived and will no longer be updated.
For an up-to-date list of publications from the Music Technology Group see the
Publications list
.
Optimizing Melodic Extraction Algorithm for Jazz Guitar Recordings Using Genetic Algorithms
| Title | Optimizing Melodic Extraction Algorithm for Jazz Guitar Recordings Using Genetic Algorithms |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Conference Name | International Computer Music Conference/Sound and Music Computing Conference |
| Authors | Giraldo, S. , & Ramirez R. |
| Conference Start Date | 14/09/2014 |
| Conference Location | Athens-Greece |
| Abstract | Extraction of the main melody of a musical piece is a preliminary step in the process of transcribing the piece. Automatic melodic extraction is the task of computationally extracting what a human listener would perceive as the main melody of a polyphonic recording. Several melodic extraction systems have been proposed. However, such systems normally require a number of parameters to be manually tuned in order to accurately perform melody ex- traction in different contexts, i.e. instruments combinations. In this study, we propose a methodology for automatically optimizing some relevant parameters of a melody extraction algorithm using genetic algorithms. We simultaneously obtained both MIDI and audio recordings of jazz standards, and we collected commercial audio recordings extracted from jazz guitar CDs. Based on the MIDI recordings as ground truth, two different instrument settings are compared (Jazz trio and quartet), as well as different audio mixing of the melody with respect to the accompaniment track. We show that, compared to using the default parameters, the overall accuracy of the melody extraction with the optimized parameters is improved. |
| preprint/postprint document | http://www.mtg.upf.edu/system/files/publications/Sergio_SMC_3.pdf |
