The purpose of this study is to see how AI-mixing tools being integrated into mixing workflows can impact the decision-making process of mixers and their workflows. This is through six qualitative semi-structured interviews with experienced mixing and sound engineers who have experience with AI-mixing tools. The study also explores creativity, intuition and the role of experience in mixing and how that shapes interactions with AI-tools. The results show how AI-mixing tools can be used for as a tool for making more informed mixing decisions and as a learning process in mixing.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:du-47734 |
Date | January 2023 |
Creators | Carstensen Olsen, Carl |
Publisher | Högskolan Dalarna, Institutionen för kultur och samhälle |
Source Sets | DiVA Archive at Upsalla University |
Language | Swedish |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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