
This dataset contains two distinct collections tailored for evaulating audio provenance analysis solutions within specified scenarios: Singular Composition and Multi-Source Composition. For a comprehensive understanding of these scenarios and the process behind generating the test files, please consult the referenced publication. This dataset is accompanied to publication and in case you use it please cite: M. Gerhardt, L. Cuccovillo, P. Aichroth, “Audio Provenance Analysis in Heterogeneous Media Sets”, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), in press.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
