TY - GEN
T1 - Towards an Acoustic-Semantic Space of Extreme Metal Vocal Styles
AU - Czedik-Eysenberg, Isabella
AU - Smialek, Eric
AU - Herbst, Jan
N1 - Conference code: 50
PY - 2024/5/2
Y1 - 2024/5/2
N2 - Extreme vocal techniques typical for metal, e.g. growling or screaming, are characterized by low harmonicity and high roughness and associated with expressive dimensions like "aggressiveness" [Tsai et al., 2010]. Based on audio features, classification into broad style categories is possible [Kalbag & Lerch, 2022]. Which audio features are associated with the perception of emerging expressive techniques/stylistic devices that go beyond previously known categories remains open. Short phrases were extracted from 105 metal vocal tracks, 10 pilot-rated by subjects for pairwise similarity (45 comparisons). The resulting similarity matrix serves as basis for a perceptual similarity space computed using multidimensional scaling (MDS). In another pilot experiment, free verbal associations are collected for all 105 excerpts. Preliminary analyses reveal a three-dimensional similarity space whose first major axis represents the contrast between harmonic vs. more inharmonic/rough singing (Harmonic-to-Noise Ratio: r=0.837, p=0.005; Spectral Complexity: r=-0.959, p
AB - Extreme vocal techniques typical for metal, e.g. growling or screaming, are characterized by low harmonicity and high roughness and associated with expressive dimensions like "aggressiveness" [Tsai et al., 2010]. Based on audio features, classification into broad style categories is possible [Kalbag & Lerch, 2022]. Which audio features are associated with the perception of emerging expressive techniques/stylistic devices that go beyond previously known categories remains open. Short phrases were extracted from 105 metal vocal tracks, 10 pilot-rated by subjects for pairwise similarity (45 comparisons). The resulting similarity matrix serves as basis for a perceptual similarity space computed using multidimensional scaling (MDS). In another pilot experiment, free verbal associations are collected for all 105 excerpts. Preliminary analyses reveal a three-dimensional similarity space whose first major axis represents the contrast between harmonic vs. more inharmonic/rough singing (Harmonic-to-Noise Ratio: r=0.837, p=0.005; Spectral Complexity: r=-0.959, p
KW - metal music
KW - vocal technique
KW - audio features
UR - https://pub.dega-akustik.de/DAGA_2024/
M3 - Conference contribution
VL - 50
SP - 979
EP - 982
BT - Proceedings of the German Society for Acoustics 50th Annual Conference for Acoustics
PB - Deutsche Gesellschaft für Akustik
T2 - 50th DAGA Annual Conference for Acoustics
Y2 - 18 March 2024 through 21 March 2024
ER -