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BELMASK—An Audiovisual Dataset of Adversely Produced Speech for Auditory Cognition Research

Author

Listed:
  • Cleopatra Christina Moshona

    (Engineering Acoustics, Institute of Fluid Dynamics and Technical Acoustics, Technische Universität Berlin, Einsteinufer 25, 10587 Berlin, Germany)

  • Frederic Rudawski

    (Lighting Technology, Institute of Energy and Automation Technology, Technische Universität Berlin, Einsteinufer 19, 10587 Berlin, Germany)

  • André Fiebig

    (Engineering Acoustics, Institute of Fluid Dynamics and Technical Acoustics, Technische Universität Berlin, Einsteinufer 25, 10587 Berlin, Germany)

  • Ennes Sarradj

    (Engineering Acoustics, Institute of Fluid Dynamics and Technical Acoustics, Technische Universität Berlin, Einsteinufer 25, 10587 Berlin, Germany)

Abstract

In this article, we introduce the Berlin Dataset of Lombard and Masked Speech (BELMASK), a phonetically controlled audiovisual dataset of speech produced in adverse speaking conditions, and describe the development of the related speech task. The dataset contains in total 128 min of audio and video recordings of 10 German native speakers (4 female, 6 male) with a mean age of 30.2 years (SD: 6.3 years), uttering matrix sentences in cued, uninstructed speech in four conditions: (i) with a Filtering Facepiece P2 (FFP2) mask in silence, (ii) without an FFP2 mask in silence, (iii) with an FFP2 mask while exposed to noise, (iv) without an FFP2 mask while exposed to noise. Noise consisted of mixed-gender six-talker babble played over headphones to the speakers, triggering the Lombard effect. All conditions are readily available in face-and-voice and voice-only formats. The speech material is annotated, employing a multi-layer architecture, and was originally conceptualized to be used for the administration of a working memory task. The dataset is stored in a restricted-access Zenodo repository and is available for academic research in the area of speech communication, acoustics, psychology and related disciplines upon request, after signing an End User License Agreement (EULA).

Suggested Citation

  • Cleopatra Christina Moshona & Frederic Rudawski & André Fiebig & Ennes Sarradj, 2024. "BELMASK—An Audiovisual Dataset of Adversely Produced Speech for Auditory Cognition Research," Data, MDPI, vol. 9(8), pages 1-18, July.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:8:p:92-:d:1441911
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