Soundscape descriptors and a conceptual framework for developing predictive soundscape models

By Francesco Aletta, Jian Kang, Östen Axelsson. 2016

475 citations recorded by the source corpus.

Soundscape exists through human perception of the acoustic environment. This paper investigates how soundscape currently is assessed and measured. It reviews and analyzes the main soundscape descriptors in the soundscape literature, and provides a conceptual framework for developing predictive models in soundscape studies. A predictive soundscape model provides a means of predicting the value of a soundscape descriptor, and the blueprint for how to design soundscape. It is the key for implementing the soundscape approach in urban planning and design. The challenge is to select the appropriate soundscape descriptor and to identify its predictors. The majority of available soundscape descriptors are converging towards a 2-dimensional soundscape model of perceived affective quality (e.g., Pleasantness–Eventfulness, or Calmness–Vibrancy). A third potential dimension is the appropriateness of a soundscape to a place. This dimensions provides complementary information beyond the perceived affective quality. However, it depends largely on context, and because a soundscape may be appropriate to a place although it is poor, this descriptor must probably not be used on its own. With regards to predictors, or soundscape indicators, perceived properties of the acoustic environment (e.g., perceived sound sources) are winning over established acoustic and psychoacoustic metrics. To move this area forward it is necessary that the international soundscape community comes together and agrees on relevant soundscape descriptors. This includes to agree on numerical scales and assessment procedures, as well as to standardize them.

Subfields: Cognitive Neuroscience, Health, Toxicology and Mutagenesis, Speech and Hearing

View Paper: https://www.semanticscholar.org/paper/d14f386dbf9f8fc25777b31123d5295dde993305

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

  1. G. Pérez-Martínez
  2. Diego P. Ruiz
  3. Antonio J. Torija
  4. Meihui Ba
  5. Xu Zhang
  6. Qi Meng
  7. Jian Kang
  8. Francesco Aletta

In Health, Toxicology and Mutagenesis

  1. G. Pérez-Martínez
  2. Diego P. Ruiz
  3. Antonio J. Torija
  4. Meihui Ba
  5. Xu Zhang
  6. Qi Meng
  7. Jian Kang
  8. Francesco Aletta

In Speech and Hearing

  1. G. Pérez-Martínez
  2. Diego P. Ruiz
  3. Antonio J. Torija
  4. Meihui Ba
  5. Xu Zhang
  6. Qi Meng
  7. Jian Kang
  8. Francesco Aletta

Citations in the corpus