Abstract

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.

Highlights

  • Ethnographic studies with music producers have shown that searching for short sounds such as drum samples is a core part of the electronic music making process, yet current search methods such as manually navigating audio files leave users frustrated and unable to efficiently find the sounds they seek [1]

  • If we consider this in terms of ‘match rate’, we find considerable variation across drum sounds

  • The full model was specified with rating as the response variable, fixed effects of drum category and target with an interaction term, and random intercepts for imitator, and listener

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Summary

Introduction

Ethnographic studies with music producers have shown that searching for short sounds such as drum samples is a core part of the electronic music making process, yet current search methods such as manually navigating audio files leave users frustrated and unable to efficiently find the sounds they seek [1].

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