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Pre-trained weights for the baseline DNN system of DCASE 2021 automated audio captioning task

Authors: Drossos, Konstantinos; Lipping, Samuel; Virtanen, Tuomas;

Pre-trained weights for the baseline DNN system of DCASE 2021 automated audio captioning task

Abstract

This is the repository of the pre-trained weights for the baseline deep neural network (DNN), used in the baseline system of automated audio captioning at the DCASE 2021 Challenge. The pre-trained weights can be used with the baseline DNN in order to reproduce the reported results on the evaluation split (development-testing set in DCASE terminology) of the Clotho dataset. You can find the description of the automated audio captioning task and the reported results on the webpage of the task: http://dcase.community/challenge2021/task-automatic-audio-captioning Clotho dataset can be found at: https://zenodo.org/record/3490684 GitHub repositories of audio captioning can be found at: https://github.com/audio-captioning If you use the baseline system, please consider citing the paper of Clotho: K. Drossos, S. Lipping, and T. Virtanen, "Clotho: An Audio Captioning Dataset," to be presented in the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 4-8, 2020 available online at: https://arxiv.org/abs/1910.09387

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Keywords

captioning, dcase, audio captioning, deep neural network

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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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