Sound Event Detection
Sound Event Detection (SED) is the task of recognizing the sound events and their respective temporal start and end time in a recording. Sound events in real life do not always occur in isolation, but tend to considerably overlap with each other. Recognizing such overlapping sound events is referred as polyphonic SED.
Source: A report on sound event detection with different binaural features
Papers
Showing 1–10 of 194 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ATST-SED | event-based F1 score | 63.4 | — | Unverified |
| 2 | SE-CRNN-16 with DualKD | event-based F1 score | 55.6 | — | Unverified |
| 3 | FDY-CRNN | event-based F1 score | 54 | — | Unverified |
| 4 | HTS-AT | event-based F1 score | 50.7 | — | Unverified |
| 5 | RCT | event-based F1 score | 49.62 | — | Unverified |
| 6 | FiltAug SED | event-based F1 score | 49.6 | — | Unverified |
| 7 | SED-SSep baseline dcase task 4 2020 v2 | event-based F1 score | 40.7 | — | Unverified |
| 8 | Baseline dcase task 4 2020 v2 | event-based F1 score | 39 | — | Unverified |
| 9 | Baseline | event-based F1 score | 25.8 | — | Unverified |
| 10 | MAT-SED | PSDS1 | 0.59 | — | Unverified |