Name
Title | ||
|---|---|---|
Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording. |
Abstract | ||
|---|---|---|
In this paper we present our work on Task 1 Acoustic Scene Classification and Task 3 Sound Event Detection in Real Life Recordings. Among our experiments we have low-level and high-level features, classifier optimization and other heuristics specific to each task. Our performance for both tasks improved the baseline from DCASE: for Task 1 we achieved an overall accuracy of 78.9% compared to the baseline of 72.6% and for Task 3 we achieved a Segment-Based Error Rate of 0.48 compared to the baseline of 0.91. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Sound | Pattern recognition,Segmentation,Computer science,Word error rate,Speech recognition,Heuristics,Artificial intelligence,Classifier (linguistics),Sound event detection |
DocType | Volume | Citations |
Journal | abs/1607.06706 | 3 |
PageRank | References | Authors |
0.46 | 10 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamin Elizalde | 1 | 359 | 22.38 |
| Anurag Kumar 0003 | 2 | 71 | 10.65 |
| Ankit Shah | 3 | 39 | 11.98 |
| Rohan Badlani | 4 | 7 | 3.01 |
| Emmanuel Vincent | 5 | 2963 | 186.26 |
| Raj, Bhiksha | 6 | 2094 | 204.63 |
| Ian R. Lane | 7 | 259 | 33.64 |