Abstract
We present the analysis of crowdsourced studies into how a population of Amazon Mechanical Turk Workers describe three commonly used audio effiects: equalization, reverberation, and dynamic range compression. We find three categories of words used to describe audio: ones that are generally used across effiects, ones that tend towards a single effect, and ones that are exclusive to a single effect. We present select examples from these categories. We visualize and present an analysis of the shared descriptor space between audio effiects. Data on the strength of association between words and effiects is made available online for a set of 4297 words drawn from 1233 unique users for three effiects (equalization, reverberation, compression). This dataset is an important step towards implementing of an end-to-end language-based audio production system, in which a user describes a creative goal, as they would to a professional audio engineer, and the system picks which audio effect to apply, as well as the setting of the audio effect.
Original language | English (US) |
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Title of host publication | MM 2016 - Proceedings of the 2016 ACM Multimedia Conference |
Publisher | Association for Computing Machinery, Inc |
Pages | 182-186 |
Number of pages | 5 |
ISBN (Electronic) | 9781450336031 |
DOIs | |
State | Published - Oct 1 2016 |
Event | 24th ACM Multimedia Conference, MM 2016 - Amsterdam, United Kingdom Duration: Oct 15 2016 → Oct 19 2016 |
Publication series
Name | MM 2016 - Proceedings of the 2016 ACM Multimedia Conference |
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Other
Other | 24th ACM Multimedia Conference, MM 2016 |
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Country/Territory | United Kingdom |
City | Amsterdam |
Period | 10/15/16 → 10/19/16 |
Funding
We would like to thank NSF Grants 1116384 and 1420971 for funding this work. Thanks to Alison Wahl for providing source audio for SocialFX.
Keywords
- Audio engineering
- Compression
- Crowdsourcing
- Effects processing
- Equalization
- Interfaces
- Reverberation
- Signal processing
- Vocabulary
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Software