Elsevier has published Music and Sleep: A Scientific Perspective, a new interdisciplinary volume originating from the Lullabyte Network, a Marie Skłodowska-Curie doctoral network funded by the European Union. Edited by Kira Vibe Jespersen and Björn Rasch, the book provides a comprehensive overview of the rapidly developing field of music and sleep research. Structured into four thematic sections — A General Introduction to Music and Sleep, Music for Sleep, Music during Sleep, and Sleep as Music — the volume brings together contributions from researchers in neuroscience, musicology, computer science, sleep medicine, psychology, and the arts. Across 22 chapters, the book explores topics ranging from music neuroscience and healthy sleep to auditory processing during sleep, music-based sleep interventions, sound stimulation, dreams, and the sonification of sleep data.
Researchers from our institute — Samuel Morgan, Jonathan Stumber, and Dirk Pflüger — contributed Chapter 7, Machine Learning at the Intersection of Music and Sleep Research, as part of the book’s opening section. Their chapter introduces commonly used machine learning methods and reviews how computational approaches are being applied in both music and sleep research, as well as in emerging interdisciplinary applications that combine the two fields. The contribution highlights the growing role of data-driven methods and artificial intelligence in advancing personalised sleep technologies and the scientific understanding of music and sleep interactions.