Name
Title | ||
|---|---|---|
Contributions of MIR to Soundscape Ecology. Part 2: Spectral timbral analysis for discriminating soundscape components |
Abstract | ||
|---|---|---|
Soundscape ecology evaluates biodiversity and environmental disturbances by investigating the interaction among soundscape components (biological, geophysical, and human-produced sounds) using data collected with autonomous recording units. Current analyses consider the acoustic properties of frequency and amplitude resulting in varied metrics, but rarely focus on the discrimination of soundscape components. Computational musicologists analyze similar data but consider a third acoustic property, timbre. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ecoinf.2019.01.008 | Ecological Informatics |
Field | DocType | Volume |
Soundscape,Data mining,Pattern recognition,Computer science,Soundscape ecology,Artificial intelligence,Timbre | Journal | 51 |
ISSN | Citations | PageRank |
1574-9541 | 0 | 0.34 |
References | Authors | |
19 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kristen Bellisario | 1 | 6 | 1.49 |
| Jack VanSchaik | 2 | 0 | 0.34 |
| zhao zhao | 3 | 9 | 1.91 |
| Amandine Gasc | 4 | 6 | 1.49 |
| Hichem Omrani | 5 | 89 | 7.91 |
| Bryan C. Pijanowski | 6 | 6 | 1.49 |