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

  • Konstantinos Drossos (Creator)
  • Samuel Lipping (Creator)
  • Tuomas Virtanen (Creator)

Dataset

Description

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
Date made available28 May 2021
PublisherZenodo

Field of science, Statistics Finland

  • 113 Computer and information sciences
  • Clotho: an Audio Captioning Dataset

    Drossos, K., Lipping, S. & Virtanen, T., 2020, IEEE 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP). IEEE, p. 736-740 5 p. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    319 Citations (Scopus)

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