Name
Title | ||
|---|---|---|
Contributions of MIR to soundscape ecology. Part 3: Tagging and classifying audio features using a multi-labeling k-nearest neighbor approach |
Abstract | ||
|---|---|---|
Scientists are using acoustic monitoring to assess the impact of altered soundscapes on wildlife communities and human systems. In the soundscape ecology field, monitoring and analyses approaches rely on the interdisciplinary intersection of ecology, acoustics, and computer science. Combining theory and practice of each field in the context of Knowledge Discovery in Databases (KDD), soundscape ecologists provide innovative monitoring solutions for ecologically-driven research questions. We propose a soundscape content analysis framework for improved knowledge outcome with assistance of the new multi-label (ML) concept. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ecoinf.2019.02.010 | Ecological Informatics |
Keywords | DocType | Volume |
Soundscape ecology,Multi-labeling,K-nearest neighbor,Visualization of acoustic data,Audio features | Journal | 51 |
ISSN | Citations | PageRank |
1574-9541 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kristen Bellisario | 1 | 6 | 1.49 |
| Taylor Broadhead | 2 | 0 | 0.34 |
| David Savage | 3 | 0 | 0.34 |
| zhao zhao | 4 | 9 | 1.91 |
| Hichem Omrani | 5 | 89 | 7.91 |
| Sai-hua Zhang | 6 | 6 | 0.82 |
| John A. Springer | 7 | 14 | 10.40 |
| Bryan C. Pijanowski | 8 | 6 | 1.49 |