
The SynBAD dataset contains synthetic binaural renders of various audio contents. The dataset samples were generated by applying specific Head Related Transfer Functions (HRTF) from subject D2 of the SADIE II database to various audio contents using the Binamix Python library. This dataset has been fully described in the BINAQUAL localization similarity metric paper. SynBAD could serve as a benchmark dataset for comparing binaural audio quality metrics or sound source localization algorithms. If you use this dataset, please cite the following papers: https://arxiv.org/abs/2505.11915 https://arxiv.org/abs/2505.01369
| 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 |
