About
Table of Contents
Theme
The inaugural 2026 Low-Resource Audio Codec (LRAC) Workshop brings together researchers and practitioners to advance neural speech coding for resource-constrained devices. The central theme is developing low-resource, efficient neural speech codecs that are lightweight, suitable for real-world deployment, and effective under everyday noise and reverberation conditions. We welcome submissions that explore diverse application scenarios and system requirements, provided they maintain a strong connection to our core focus on efficient codecs for real-world environments.
Organizers
- Kamil Wojcicki, Cisco Systems, Australia
- Yusuf Isik, Cisco Systems, UK
- Laura Lechler, Cisco Systems, UK
- Ivana Balic, Cisco Systems, Switzerland
- Mansur Yesilbursa, Cisco Systems, Poland
- Guoqing Zhang, Cisco Systems, USA
- Wolfgang Mack, Cisco Systems, Germany
- Rafał Łaganowski, Cisco Systems, Poland
Co-Organizers & Academic Partners
- Shinji Watanabe, Carnegie Mellon University, USA
- Minje Kim, University of Illinois Urbana-Champaign, USA
- Yossi Adi, Hebrew University of Jerusalem, Israel
Sponsors
- Speech and Language Processing Technical Committee (IEEE Signal Processing Society)
- Audio and Acoustic Signal Processing Technical Committee (IEEE Signal Processing Society)
Contact Information
Workshop related enquires can be sent to lrac-workshop@cisco.com.