Vocal imitation of percussion sounds: On the perceptual similarity between imitations and imitated sounds.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 17 11 2017
accepted: 06 07 2019
entrez: 26 7 2019
pubmed: 26 7 2019
medline: 3 3 2020
Statut: epublish

Résumé

Recent studies have demonstrated the effectiveness of the voice for communicating sonic ideas, and the accuracy with which it can be used to imitate acoustic instruments, synthesised sounds and environmental sounds. However, there has been little research on vocal imitation of percussion sounds, particularly concerning the perceptual similarity between imitations and the sounds being imitated. In the present study we address this by investigating how accurately musicians can vocally imitate percussion sounds, in terms of whether listeners consider the imitations 'more similar' to the imitated sounds than to other same-category sounds. In a vocal production task, 14 musicians imitated 30 drum sounds from five categories (cymbals, hats, kicks, snares, toms). Listeners were then asked to rate the similarity between the imitations and same-category drum sounds via web based listening test. We found that imitated sounds received the highest similarity ratings for 16 of the 30 sounds. The similarity between a given drum sound and its imitation was generally rated higher than for imitations of another same-category sound, however for some drum categories (snares and toms) certain sounds were consistently considered most similar to the imitations, irrespective of the sound being imitated. Finally, we apply an existing auditory image based measure for perceptual similarity between same-category drum sounds, to model the similarity ratings using linear mixed effect regression. The results indicate that this measure is a good predictor of perceptual similarity between imitations and imitated sounds, when compared to acoustic features containing only temporal or spectral features.

Identifiants

pubmed: 31344080
doi: 10.1371/journal.pone.0219955
pii: PONE-D-17-40726
pmc: PMC6657857
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0219955

Commentaires et corrections

Type : ErratumIn

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Adib Mehrabi (A)

Department of Linguistics, Queen Mary University of London, London, England.
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, England.

Simon Dixon (S)

Department of Linguistics, Queen Mary University of London, London, England.

Mark Sandler (M)

Department of Linguistics, Queen Mary University of London, London, England.

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Classifications MeSH