Automatic best take detection for electric guitar and vocal studio recordings

In the course of music recording sessions, the same vocal or instrumental passages are usually performed several times. However, only the best takes are chosen and further processed. Especially for lead vocals and solo instruments, the quantity of recorded material can be overwhelming, which makes the selection process time-consuming. Our goal is to automate and objectify this procedure in order to assist music producers for a faster decision making. The task of automatic best take detection is constrained to monophonic lines of electric guitar and singing voice in popular music. Assuming realistic scenarios during recording sessions, the proposed system requires only a synchronized click track and a backing track with accompanying instruments to be available for analysis.

Authors

Publication Details

Journal
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
Published
2025-10-29
DOI
https://doi.org/10.24406/h-395602
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic best take detection for electric guitar and vocal studio recordings

Styliannos I. Mimilakis, Jakob Abeßer, C. Bonsel, Sascha Grollmisch
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
Music and Audio Processing
article

Automatic best take detection for electric guitar and vocal studio recordings

Styliannos I. Mimilakis, Jakob Abeßer, C. Bonsel, Sascha Grollmisch
article en

Abstract

In the course of music recording sessions, the same vocal or instrumental passages are usually performed several times. However, only the best takes are chosen and further processed. Especially for lead vocals and solo instruments, the quantity of recorded material can be overwhelming, which makes the selection process time-consuming. Our goal is to automate and objectify this procedure in order to assist music producers for a faster decision making. The task of automatic best take detection is constrained to monophonic lines of electric guitar and singing voice in popular music. Assuming realistic scenarios during recording sessions, the proposed system requires only a synchronized click track and a backing track with accompanying instruments to be available for analysis.

Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
Openalex Percentile: Top 100%
Music and Audio Processing
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Automatic best take detection for electric guitar and vocal studio recordings — Styliannos I. Mimilakis, Jakob Abeßer, et al. · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (2025) | TGRS Research Map | TGRS