We present an overview of the Semantic Audio Feature Ex-traction (SAFE) Project, a novel data collection architec-ture for the extraction and retrieval of semantic descrip-tions of musical timbre, deployed within the digital au-dio workstation. By embedding the data capture system into the music production workflow, we are able to max-imise the return of semantically annotated music produc-tion data, whilst mitigating against issues such as musical and environmental bias. Users of the plug-ins are able to submit semantic descriptions of their own music, whilst utilising the continually growing collaborative dataset of musical descriptors. In order to provide more contextually representative timbral transformations, the dataset is parti-tioned using metadata, captured within the application. 1
