AES E-Library

AES E-Library

Semantic Music Production: A Meta-Study

This paper presents a systematic review of semantic music production, including a meta-analysis of three studies into how individuals use words to describe audio effects within music production. Each study followed different methodologies and stimuli. The SAFE project created audio effect plug-ins that allowed users to report suitable words to describe the perceived result. SocialFX crowdsourced a large data set of how non-professionals described the change that resulted from an effect applied to an audio sample. The Mix Evaluation Data Set performed a series of controlled studies in which students used natural language to comment extensively on the content of different mixes of the same groups of songs. The data sets provided 40,411 audio examples and 7,221 unique word descriptors from 1,646 participants. Analysis showed strong correlations between various audio features, effect parameter settings, and semantic descriptors. Meta-analysis not only revealed consistent use of descriptors among the data sets but also showed key differences that likely resulted from the different participant groups and tasks. To the authors' knowledge, this represents the first meta-study and the largest-ever analysis of music production semantics.

Open Access

Open
Access

Authors:
Affiliations:
JAES Volume 70 Issue 7/8 pp. 548-564; July 2022
Publication Date:
Permalink: http://www.aes.org/e-lib/browse.cfm?elib=21823


Download Now (972 KB)

This paper is Open Access which means you can download it for free.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this reviewPaper!


AES - Audio Engineering Society