Abstract | ||
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Each edition of the challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) contained several tasks involving sound event detection in different setups. DCASE 2017 presented participants with three such tasks, each having specific datasets and detection requirements: Task 2, in which target sound events were very rare in both training and testing data, Task 3 having overlap... |
Year | DOI | Venue |
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2019 | 10.1109/TASLP.2019.2907016 | IEEE/ACM Trans. Audio, Speech & Language Processing |
Keywords | Field | DocType |
Event detection,Task analysis,Training,Acoustics,Speech processing,Glass,Hidden Markov models | Jackknife resampling,Ranking,Pattern recognition,Computer science,Popularity,Minification,Artificial intelligence,Test data,Sound event detection,Confidence interval,Maximization | Journal |
Volume | Issue | ISSN |
27 | 6 | 2329-9290 |
Citations | PageRank | References |
7 | 0.56 | 5 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Annamaria Mesaros | 1 | 315 | 21.71 |
Aleksandr Diment | 2 | 49 | 4.53 |
Benjamin Elizalde | 3 | 359 | 22.38 |
Toni Heittola | 4 | 366 | 25.84 |
Emmanuel Vincent | 5 | 2963 | 186.26 |
Raj, Bhiksha | 6 | 2094 | 204.63 |
Virtanen Tuomas | 7 | 1883 | 136.57 |