Abstract
The paper presents SpeeD - the first online speech-based tool for automated database design. SpeeD enables automatic derivation of conceptual database models from offline (previously recorded) speech, as well as from online (real-time recorded) speech, whereby several different natural languages are supported. Once upon conceptual design is finished, SpeeD enables automated subsequent steps of forward database engineering for several contemporary database management systems.
Paper Type
Short Paper
DOI
10.62036/ISD.2025.14
SpeeD: An Online Multilingual Speech-based Database Design Tool
The paper presents SpeeD - the first online speech-based tool for automated database design. SpeeD enables automatic derivation of conceptual database models from offline (previously recorded) speech, as well as from online (real-time recorded) speech, whereby several different natural languages are supported. Once upon conceptual design is finished, SpeeD enables automated subsequent steps of forward database engineering for several contemporary database management systems.
Recommended Citation
Keserovic, D., Brdjanin, D., Banjac, G. & Banjac, D. (2025). SpeeD: An Online Multilingual Speech-based Database Design ToolIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.14