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Guitar Improvisations with Hexaphonic Multieffect (Gihme) Dataset and Practice Analysis

Authors: Reboursiere, Loïc; Dutoit, Thierry; Tiffon, Vincent;

Guitar Improvisations with Hexaphonic Multieffect (Gihme) Dataset and Practice Analysis

Abstract

This paper presents a novel guitar dataset made out of richtly annotated guitarist improvisations. The annotations gather notes, playing techniques, instrument tuning, audio effect configurations as well as transcription of post improvisation interviews. The dataset gathers ten hours of improvisations and around five hours of interviews. These accompanying data make this dataset suitable for a variety of different research domains : from MIR to improvisation analysis and musicology. The recordings yielded to this dataset were done in the context of an hexaphonic multi-effect pratice study. This hexaphonic multi-effects is meant to work with an hexaphonic guitar (one pickup per string guitar) and grants the player with independant audio effect configurations for each strings. This paper presents the dataset and the experiments it has been gathered from. It also details, based the transcriptions of the interviews, a first analysis of the hexaphonic setup specificities regarding to the guitarists own practices.

2426 - DigiSTORM - Nouveaux territoires numériques, les ICC au coeur du paysage urbain - Région wallonne

Countries
Belgium, France
Keywords

hexaphonic guitar, [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph], Musicology, Arts & humanities, dataset, [SHS.ART] Humanities and Social Sciences/Art and art history, MIR, [SHS] Humanities and Social Sciences, musical practice analysis, Arts & sciences humaines

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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