SleepSound

Charting the Nighttime Soundscape and Sleep Quality in Hong Kong through Machine Listening and AI-supported Information Design

  • PI : PerMagnus Lindborg
  • Co-Is : Sara Lenzi, Shirley XIn Li, Xiao Li

Sleep is an essential part of health. One factor that affects sleep quality is soundscape, the acoustic environment as perceived. In the SleepSound project, we aim to collect field data and harness machine listening for an AI-supported assessment of soundscape quality for healthy sleep. Why is this important? Our initial literature review reveals that there is little known about Hong Kong’s domestic acoustic environment and practically no research has been published on people’s perception of their own nighttime soundscape, or how it may affect sleep. A case in point is the Noise Control Ordinance (1989), which regulates noise from e.g. construction sites but leaves much of neighbourhood environments open to interpretation. Without a deeper understanding of soundscape, solving inevitable conflicts might be left to arbitrary judgements. Given this situation, our project aims to develop methods to chart the nighttime soundscape and its impact on sleep. Restorative sleep is important for everyone and crucial for vulnerable individuals e.g. with a medical condition. The present research project builds on our recent study in a nighttime hospital ward, where patients wore sleep trackers to detect disturbances, and soundscape audio was captured. SleepSound will venture further by focusing on the context of domestic bedrooms for normally healthy residents in Hong Kong.

Publications

  • Lindborg PM, Lenzi S, Li SX, Li X, Sarkar P (2025, in review). “SleepSound: Measuring soundscape quality for good sleep”. Proceedings of Forum Acousticum – Euronoise, Spain 2025.
  • Lindborg PM, Lenzi S, Li SX, Li X (2025/01). “SleepSound: Charting the Nighttime Soundscape and Sleep Quality in Hong Kong through Machine Listening and AI-supported Information Design”. Proceedings of SoniHED Conference on the Sonification of Health and Environmental Data, KTH Royal Institute of Technology, Stockholm, Sweden. [RG link] [blogg w slides & conference pix]
  • Lindborg PM (2024/10). SleepSound pilot study.
  • Lenzi, Sara, Lindborg, PerMagnus, Spagnol, Simone, Kamphuis, Daan and Özcan, Elif. (2024/06)“Perceived quality of a nighttime hospital soundscape” Noise Mapping, vol. 11, no. 1, 2024, pp. 20240010. https://doi.org/10.1515/noise-2024-0010
  • Sara Lenzi, PerMagnus Lindborg, Ningze Han, Simone Spagnol, Daan Kamphuis, Elif Özcan (2023/09). “Disturbed Sleep: Estimating Night-time Sound Annoyance at a Hospital Ward”. Forum Acousticum, 10th Convention of the European Acoustics Association 2023, Torino, Italy.

References