Name
Abstract | ||
|---|---|---|
•A new model to compute acoustic saliency based on Bayesian log-surprise is proposed.•Our model implements a multi-scale scheme, inspired by Acoustic Sensory Memory.•We validated our proposal using Acoustic Event Detection datasets.•Performance compared favorably against state-of-the-art saliency algorithms. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.07.018 | Expert Systems with Applications |
Keywords | Field | DocType |
Acoustic saliency,Echoic memory,Multi-scale,Statistical divergence,Jensen–Shannon,Acoustic Event Detection | Sensory cue,Bhattacharyya distance,Pattern recognition,Computer science,Salience (neuroscience),Voice activity detection,Echoic memory,Expert system,Computational model,Artificial intelligence,Sensory memory,Machine learning | Journal |
Volume | ISSN | Citations |
114 | 0957-4174 | 0 |
PageRank | References | Authors |
0.34 | 25 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Rodriguez-Hidalgo | 1 | 0 | 0.34 |
| Carmen Peláez-moreno | 2 | 130 | 22.07 |
| j maciasguarasa | 3 | 92 | 19.30 |