Microphone Comparison: Spectral Feature Mapping for Snare Drum Recording
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M. Cheshire, R. Stables, and J. Hockman, "Microphone Comparison: Spectral Feature Mapping for Snare Drum Recording," Paper 10263, (2019 October.). doi:
M. Cheshire, R. Stables, and J. Hockman, "Microphone Comparison: Spectral Feature Mapping for Snare Drum Recording," Paper 10263, (2019 October.). doi:
Abstract: Microphones are known to exhibit sonic differences and microphone selection is integral in achieving desired tonal qualities of recordings. In this paper an initial multi-stimuli listening test is used to categorize microphones based on user preference when recording snare drums. A spectral modification technique is then applied to recordings made with a microphone from the least preferred category, such that they take on the frequency characteristics of recordings from the most preferred category. To assess the success of the audio transformation, a second experiment is undertaken with expert listeners to gauge pre- and post-transformation preferences. Results indicate spectral transformation dramatically improves listener preference for recordings from the least preferred category, placing them on par with those of the most preferred.
@article{cheshire2019microphone,
author={cheshire, matthew and stables, ryan and hockman, jason},
journal={journal of the audio engineering society},
title={microphone comparison: spectral feature mapping for snare drum recording},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{cheshire2019microphone,
author={cheshire, matthew and stables, ryan and hockman, jason},
journal={journal of the audio engineering society},
title={microphone comparison: spectral feature mapping for snare drum recording},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={microphones are known to exhibit sonic differences and microphone selection is integral in achieving desired tonal qualities of recordings. in this paper an initial multi-stimuli listening test is used to categorize microphones based on user preference when recording snare drums. a spectral modification technique is then applied to recordings made with a microphone from the least preferred category, such that they take on the frequency characteristics of recordings from the most preferred category. to assess the success of the audio transformation, a second experiment is undertaken with expert listeners to gauge pre- and post-transformation preferences. results indicate spectral transformation dramatically improves listener preference for recordings from the least preferred category, placing them on par with those of the most preferred.},}
TY - paper
TI - Microphone Comparison: Spectral Feature Mapping for Snare Drum Recording
SP -
EP -
AU - Cheshire, Matthew
AU - Stables, Ryan
AU - Hockman, Jason
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
TY - paper
TI - Microphone Comparison: Spectral Feature Mapping for Snare Drum Recording
SP -
EP -
AU - Cheshire, Matthew
AU - Stables, Ryan
AU - Hockman, Jason
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
AB - Microphones are known to exhibit sonic differences and microphone selection is integral in achieving desired tonal qualities of recordings. In this paper an initial multi-stimuli listening test is used to categorize microphones based on user preference when recording snare drums. A spectral modification technique is then applied to recordings made with a microphone from the least preferred category, such that they take on the frequency characteristics of recordings from the most preferred category. To assess the success of the audio transformation, a second experiment is undertaken with expert listeners to gauge pre- and post-transformation preferences. Results indicate spectral transformation dramatically improves listener preference for recordings from the least preferred category, placing them on par with those of the most preferred.
Microphones are known to exhibit sonic differences and microphone selection is integral in achieving desired tonal qualities of recordings. In this paper an initial multi-stimuli listening test is used to categorize microphones based on user preference when recording snare drums. A spectral modification technique is then applied to recordings made with a microphone from the least preferred category, such that they take on the frequency characteristics of recordings from the most preferred category. To assess the success of the audio transformation, a second experiment is undertaken with expert listeners to gauge pre- and post-transformation preferences. Results indicate spectral transformation dramatically improves listener preference for recordings from the least preferred category, placing them on par with those of the most preferred.
Authors:
Cheshire, Matthew; Stables, Ryan; Hockman, Jason
Affiliation:
Birmingham City University, Birmingham, UK
AES Convention:
147 (October 2019)
Paper Number:
10263
Publication Date:
October 8, 2019Import into BibTeX
Subject:
Recording, Production, and Live Sound
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=20636