Name
Title | ||
|---|---|---|
AudioSentibank: Large-scale Semantic Ontology of Acoustic Concepts for Audio Content Analysis. |
Abstract | ||
|---|---|---|
Audio carries substantial information about the content of our surroundings. The content has been explored at the semantic level using acoustic concepts, but rarely on concept pairs such as happy crowd and angry crowd. Concept pairs convey unique information and complement other audio and multimedia applications. Hence, in this work we explored for the first time the classificationu0027s performance of acoustic concepts pairs. For this study, we introduce the AudioSentiBank corpus, which is a large-scale folksology containing over 1,123 adjective and verb noun pairs. Our contribution consists on providing the research corpus, the benchmark for classification of acoustic concept pairs, and an analysis on the pairs. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Sound | Verb,Audio content analysis,Ontology,Information retrieval,Computer science,Noun,Speech recognition,Natural language processing,Artificial intelligence,Adjective |
DocType | Volume | Citations |
Journal | abs/1607.03766 | 2 |
PageRank | References | Authors |
0.36 | 8 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Sager | 1 | 4 | 1.12 |
| Damian Borth | 2 | 764 | 49.45 |
| Benjamin Elizalde | 3 | 359 | 22.38 |
| Christian Schulze | 4 | 24 | 3.06 |
| Raj, Bhiksha | 5 | 2094 | 204.63 |
| Ian R. Lane | 6 | 259 | 33.64 |
| Andreas Dengel | 7 | 1926 | 280.42 |