The title of this technical report says almost everything: this is indeed \"a short bibliography on AI and the arts\". It is presented in four sections: General Arguments, Proposals, and Approaches (31 references); Artificial Intelligence in Music (124 references); Artificial Intelligence in Literature and the Performing Arts (13 references), and Artificial Intelligence and Visual Art (57 references). About a quarter of these have short abstracts. Creating a bibliography can be a monumental task, and this bibliography should be viewed as a good and useful start, though it is by no means complete. For comparison, consider the 4,585-entry bibliography Computer Applications in Music by Deta Davis (A-REditions). No direct comparison is intended (or possible), but my point is that many more papers are likely to exist. As a rough check, I looked for several pre-1990 AI and Music articles and books (including my own, of course) in the bibliography. Out of five papers from well-known sources, only one was listed. On the other hand, I discovered a number of papers in this report that were unknown to me, so I am grateful to have a new source of references. In their introduction, the authors acknowledge the need for more references and even offer.a cup of coffee in reward for each new one. I will be sending a number of contributions, so the next time anyone is in Vienna, the coffee is on me. I hope the authors will continue to collect abstracts and publish an updated report in the future.

Auditory Scene Analysis: The Perceptual Organization of Sound by Albert Bregman (review)

Jérôme Sueur1), Almo Farina2), Amandine Gasc1,3), Nadia Pieretti2), Sandrine Pavoine3,4) 1) Muséum national d’Histoire naturelle, Département Systématique et Évolution, UMR 7205-CNRS ISYEB, 45 rue Buffon, Paris, France. sueur@mnhn.fr 2) Department of Basic Sciences and Foundations, Urbino University, Urbino, Italy 3) Muséum national d’Histoire naturelle, Département Ecologie et Gestion de la Biodiversité, UMR 7204 CNRS-UPMC CESCO, 55-61 rue Buffon, 75005 Paris, France 4) Mathematical Ecology Research Group, Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK

Acoustic Indices for Biodiversity Assessment and Landscape Investigation

Soundscape descriptors and a conceptual framework for developing predictive soundscape models

The development and application of the emotional dimensions of a soundscape

The restorative potential of soundscapes: A physiological investigation

https://usir.salford.ac.uk/22964/1/Davies_et_al_PSP_overview_App_Acoust_post%2Dreferee.pdf

Angus Carlyle

Papers

Perception of soundscapes: An interdisciplinary approach