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This package contains all submitted systems to DCASE2016 Challenge: system outputs and technical reports describing the systems. This package is meant to archive the DCASE0216 Challenge outcome and enable later evaluation with additional evaluation metrics. When referring to the DCASE2016 Challenge Submissions Package use the following: A. Mesaros, T. Heittola, E. Benetos, P. Foster, M. Lagrange, T. Virtanen, and M. D. Plumbley. Detection and classification of acoustic scenes and events: outcome of the DCASE 2016 challenge. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26(2):379–393, Feb 2018.
{"references": ["A.\u00a0Mesaros, T.\u00a0Heittola, E.\u00a0Benetos, P.\u00a0Foster, M.\u00a0Lagrange, T.\u00a0Virtanen, and M.\u00a0D. Plumbley.\u00a0Detection and classification of acoustic scenes and events: outcome of the DCASE 2016 challenge.\u00a0IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26(2):379\u2013393, Feb 2018."]}
sound event detection, audio tagging, computational auditory scene analysis, audio, acoustic scene classification
sound event detection, audio tagging, computational auditory scene analysis, audio, acoustic scene classification
| 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 |
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