Published May 30, 2023 | Version v1
Dataset Restricted

The MASCFLICHT Corpus

  • 1. University of Augsburg, Germany

Description

The MASCFLICHT corpus is a novel speech dataset for face mask type and coverage area recognition collected with a Xiaomi Mi 10 smartphone. The dataset contains 2 h 27 m 55 s of data from 30 German speakers (15 f, 15 m), with a mean age of 25.7 (± 9.1) years old. The available data is split in 3 (train/devel/test) participant-independent and gender-balanced partitions and contains speech samples of the 30 participants recorded under five different conditions: i) without face mask, ii) wearing a surgical mask only with the mouth covered, iii) wearing a surgical mask with both the mouth and the nose covered, iv) wearing an FFP2 mask only with the mouth covered, and v) wearing an FFP2 mask with both the mouth and the nose covered. 

A detailed documentation of this dataset can be found in [1].

If you use the MASCFLICHT Corpus in your research work, you are kindly asked to cite [1] in your publications. 

[1] A. Mallol-Ragolta, N. Urbach, S. Liu, A. Batliner, and B. Schuller, “The MASCFLICHT Corpus: Face Mask Type and Coverage Area Recognition from Speech,” in Proceedings of the 24th Annual Conference of the International Speech Communication Association, (Dublin, Ireland), ISCA, 2023.

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

The user who will make use of the MASCFLICHT Corpus may only use the database after the End User License Agreement (EULA) has been signed and returned to the authors. By signing the EULA, the user agrees to the specific terms of use considered by the authors. The EULA must be signed by a person with a permanent position at an academic institute. The user may not use the database for any non-academic purposes. The user may not distribute the database in any way. All research papers, presentations, or documents that report the use of the MASCFLICHT Corpus should cite [1].

[1] A. Mallol-Ragolta, N. Urbach, S. Liu, A. Batliner, and B. Schuller, “The MASCFLICHT Corpus: Face Mask Type and Coverage Area Recognition from Speech,” in Proceedings of the 24th Annual Conference of the International Speech Communication Association, (Dublin, Ireland), ISCA, 2023.

To get access, please contact Adria Mallol-Ragolta at:

adria.mallol-ragolta [at] informatik.uni-augsburg.de

You are currently not logged in. Do you have an account? Log in here