Name
Abstract | ||
|---|---|---|
Real-world sound scenes consist of time-varying collections of sound sources, each generating characteristic sound events that are mixed together in audio recordings. The association of these constituent sound events with their mixture and each other is semantically constrained: the sound scene contains the union of source classes and not all classes naturally co-occur. With this motivation, this ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WASPAA52581.2021.9632739 | 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) |
Keywords | DocType | ISSN |
Training,Representation learning,Source separation,Conferences,Semantics,Predictive models,Benchmark testing | Conference | 1931-1168 |
ISBN | Citations | PageRank |
978-1-6654-4870-3 | 1 | 0.36 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fonseca Eduardo | 1 | 23 | 5.42 |
| Lorena Álvarez | 2 | 504 | 36.47 |
| Daniel P. W. Ellis | 3 | 4198 | 356.08 |
| Scott Wisdom | 4 | 2 | 1.06 |
| Marco Tagliasacchi | 5 | 14 | 6.71 |
| John R. Hershey | 6 | 1 | 0.36 |
| Manoj Plakal | 7 | 1 | 0.36 |
| Shawn Hershey | 8 | 10 | 2.38 |
| R. Channing Moore | 9 | 1 | 0.36 |
| Xavier Serra | 10 | 1014 | 118.93 |