About

Table of Contents

  1. Theme
  2. Organizers
  3. Co-Organizers & Academic Partners
  4. Sponsors
  5. Contact Information

Theme

The inaugural 2025 Low-Resource Audio Codec (LRAC) Challenge 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, while meeting strict constraints on computational complexity, latency, and bitrate.

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)
  • Challenge Program (IEEE Signal Processing Society)

Contact Information

Challenge related enquires can be sent to lrac-challenge@cisco.com.

We are also on Slack - please send us an email to request an invitation link.