Name
Abstract | ||
|---|---|---|
In Psychology, actions are paramount for humans to identify sound events. In Machine Learning (ML), action recognition achieves high accuracy; however, it has not been asked whether identifying actions can benefit Sound Event Classification (SEC), as opposed to mapping the audio directly to a sound event. Therefore, we propose a new Psychology-inspired approach for SEC that includes identification... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WASPAA52581.2021.9632782 | 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) |
Keywords | DocType | ISSN |
Crowdsourcing,Annotations,Databases,Conferences,Semantics,Psychology,Machine learning | Conference | 1931-1168 |
ISBN | Citations | PageRank |
978-1-6654-4870-3 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamin Elizalde | 1 | 359 | 22.38 |
| Radu Revutchi | 2 | 0 | 0.34 |
| Samarjit Das | 3 | 0 | 1.35 |
| Raj, Bhiksha | 4 | 2094 | 204.63 |
| Ian Lane | 5 | 0 | 0.34 |
| Laurie M. Heller | 6 | 0 | 0.34 |