IBN@speech: Cognitive Framework for Intent Translation
The IBN@speech framework introduces a novel approach to network management by integrating an Intent Translation Engine with speech recognition technology. This system allows users to issue natural language voice commands, which are translated into network configurations and implemented via the Open Network Operating System (ONOS). Unlike traditional methods that rely on fixed databases, IBN @ speech leverages a combination of rule based systems and RASA based conversational AI to offer a user friendly interface, significantly enhancing network automation through real time adjustments and efficient service deployment. Our initial results demonstrate notable improvements in service deployment time and user satisfaction, positioning IBN @ speech as a compelling alternative to conventional network management techniques.
Authors
- Wang‐Cheol Song (ORCID: https://orcid.org/0000-0002-7411-5316)
- Muhammad Asif (ORCID: https://orcid.org/0000-0002-1048-0912)
- Talha Ahmed Khan
Institutions
- University of Surrey (GB)
- Jeju National University (KR)
Publication Details
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1109/ccnc54725.2025.10976062
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation of Korea