---
_id: '29308'
abstract:
- lang: eng
  text: 'In this paper we present our system for the Detection and Classification
    of Acoustic Scenes and Events (DCASE) 2021 Challenge Task 4: Sound Event Detection
    and Separation in Domestic Environments, where it scored the fourth rank. Our
    presented solution is an advancement of our system used in the previous edition
    of the task.We use a forward-backward convolutional recurrent neural network (FBCRNN)
    for tagging and pseudo labeling followed by tag-conditioned sound event detection
    (SED) models which are trained using strong pseudo labels provided by the FBCRNN.
    Our advancement over our earlier model is threefold. First, we introduce a strong
    label loss in the objective of the FBCRNN to take advantage of the strongly labeled
    synthetic data during training. Second, we perform multiple iterations of self-training
    for both the FBCRNN and tag-conditioned SED models. Third, while we used only
    tag-conditioned CNNs as our SED model in the previous edition we here explore
    sophisticated tag-conditioned SED model architectures, namely, bidirectional CRNNs
    and bidirectional convolutional transformer neural networks (CTNNs), and combine
    them. With metric and class specific tuning of median filter lengths for post-processing,
    our final SED model, consisting of 6 submodels (2 of each architecture), achieves
    on the public evaluation set poly-phonic sound event detection scores (PSDS) of
    0.455 for scenario 1 and 0.684 for scenario as well as a collar-based F1-score
    of 0.596 outperforming the baselines and our model from the previous edition by
    far. Source code is publicly available at https://github.com/fgnt/pb_sed.'
author:
- first_name: Janek
  full_name: Ebbers, Janek
  id: '34851'
  last_name: Ebbers
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Ebbers J, Haeb-Umbach R. Self-Trained Audio Tagging and Sound Event Detection
    in Domestic Environments. In: <i>Proceedings of the 6th Detection and Classification
    of Acoustic Scenes and Events 2021 Workshop (DCASE2021)</i>. ; 2021:226–230.'
  apa: Ebbers, J., &#38; Haeb-Umbach, R. (2021). Self-Trained Audio Tagging and Sound
    Event Detection in Domestic Environments. <i>Proceedings of the 6th Detection
    and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)</i>,
    226–230.
  bibtex: '@inproceedings{Ebbers_Haeb-Umbach_2021, place={Barcelona, Spain}, title={Self-Trained
    Audio Tagging and Sound Event Detection in Domestic Environments}, booktitle={Proceedings
    of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop
    (DCASE2021)}, author={Ebbers, Janek and Haeb-Umbach, Reinhold}, year={2021}, pages={226–230}
    }'
  chicago: Ebbers, Janek, and Reinhold Haeb-Umbach. “Self-Trained Audio Tagging and
    Sound Event Detection in Domestic Environments.” In <i>Proceedings of the 6th
    Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)</i>,
    226–230. Barcelona, Spain, 2021.
  ieee: J. Ebbers and R. Haeb-Umbach, “Self-Trained Audio Tagging and Sound Event
    Detection in Domestic Environments,” in <i>Proceedings of the 6th Detection and
    Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)</i>, 2021,
    pp. 226–230.
  mla: Ebbers, Janek, and Reinhold Haeb-Umbach. “Self-Trained Audio Tagging and Sound
    Event Detection in Domestic Environments.” <i>Proceedings of the 6th Detection
    and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)</i>,
    2021, pp. 226–230.
  short: 'J. Ebbers, R. Haeb-Umbach, in: Proceedings of the 6th Detection and Classification
    of Acoustic Scenes and Events 2021 Workshop (DCASE2021), Barcelona, Spain, 2021,
    pp. 226–230.'
date_created: 2022-01-13T08:07:47Z
date_updated: 2023-11-22T08:28:32Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
  content_type: application/pdf
  creator: ebbers
  date_created: 2022-01-13T08:08:54Z
  date_updated: 2022-01-13T08:19:50Z
  file_id: '29309'
  file_name: template.pdf
  file_size: 239462
  relation: main_file
file_date_updated: 2022-01-13T08:19:50Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 226–230
place: Barcelona, Spain
project:
- _id: '52'
  name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the 6th Detection and Classification of Acoustic Scenes
  and Events 2021 Workshop (DCASE2021)
publication_identifier:
  isbn:
  - 978-84-09-36072-7
quality_controlled: '1'
status: public
title: Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments
type: conference
user_id: '34851'
year: '2021'
...