AFX-Research: an Extensive and Flexible Repository of Research about Audio Effects

We present AFX-Research, a repository and associated website gathering scientific literature about research on audio effects. Our database includes publications on topics like: modeling, classification and identification, estimation and regression, removal, style transfer, processing. It also includes review papers, which themselves survey the scientific literature. Furthermore, publications included in our database are not limited to specific methods or techniques (e.g. neural networks or wave digital filters) in an effort to highlight the long tradition of audio effects research and the many different approaches adopted along the decades. While our website contains a table with all details about each publication, the table itself allows to search, filter and order the publications; making it extremely easy to retrieve relevant information. At the same time the repository allows anyone to submit requests to add a new publication or update/modify an existing one. Considering the constant contributions of the audio effects research community to such topics and the fast pacing of machine learning approaches, we hope AFX-Research will facilitate up-to-date literature reviews and help explore novel ideas, as well as reorganizing the content in line with new research avenues.

repo: https://github.com/mcomunita/AFX-Research

website: https://mcomunita.github.io/AFX-Research