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This dataset contains data generated as part of the AudioCommons project (DS 5.6.3). Data take the form of python and MATLAB code implementing the timbral models documented in D5.6 and evaluated in D5.7. References D5.6 (2018): A.Pearce, S.Safavi, T.Brookes, R.Mason, W.Wang, M.Plumbley, "Second prototype of timbral characterisation tool for semantically annotating non-musical content", AudioCommons Deliverable Report - http://www.audiocommons.org/materials/ D5.7 (2018): A.Pearce, S.Safavi, T.Brookes, R.Mason, W.Wang, M.Plumbley, "Evaluation report on the second prototypes of the timbral characterisation tools", AudioCommons Deliverable Report - http://www.audiocommons.org/materials/
Attribution: if publishing results generated using all or part of this dataset, please cite the most appropriate of the references listed on this page; if incorporating all or part of this dataset into a new dataset, please attribute the incorporated elements to the authors listed on this page and cite the doi. Thanks.
Perceptual Model, Timbre, Psychoacoustics
Perceptual Model, Timbre, Psychoacoustics
| 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 |
| views | 8 |

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