Technical Program

Technical program last revised: 9 Apr 2026

Workshop date: May 4, 2026.

Please refer to the Agenda page for the full schedule including morning and afternoon blocks, breaks, and the evening ICASSP event.


Keynotes


Oral Presentations

10:00 – 10:20 · 20 min · Challenge overview talk by the challenge organizers.

10:20 – 11:00 · 40 min · Presentations by the respective winners of each LRAC Challenge track.

Paper ID Title Authors
LRAC-AS-18745 IRIS: Low-Complexity High-Efficiency Neural Network Codec for Real-Time Audio Transmission Ziqian Wu, Jiawei Jiang, Kunpeng Lin, He Wang, Qingbo Huang, Dejun Zhang, Andong Li
LRAC-AS-18770 Progressive Refinement Training for Low-Resource Neural Speech Coding and Enhancement Ronghui Hu, Leyan Yang, Yang Xu, Qinwen Hu, Jing Lu

Poster Session

14:15 – 15:45 · 90 min · Authors free to roam after 60 min.

PA1–3 are Archival Track (ICASSPW). PA4 is Non-Archival Track.

PA1. LRAC Challenge Entries

Paper ID Title Authors
LRAC-AS-18745 IRIS: Low-Complexity High-Efficiency Neural Network Codec for Real-Time Audio Transmission Ziqian Wu, Jiawei Jiang, Kunpeng Lin, He Wang, Qingbo Huang, Dejun Zhang, Andong Li
LRAC-AS-18770 Progressive Refinement Training for Low-Resource Neural Speech Coding and Enhancement Ronghui Hu, Leyan Yang, Yang Xu, Qinwen Hu, Jing Lu
LRAC-AS-18771 KD-Vocodec: A Low-Complexity Model for Joint Speech Coding and Enhancement Using Knowledge Distillation Yang Xu, Ronghui Hu, Leyan Yang, Jing Lu
LRAC-AS-18772 VOCODEC: An Efficient Lightweight Low-Bitrate Speech Codec Leyan Yang, Ronghui Hu, Yang Xu, Jing Lu
LRAC-AS-18785 Nanocodec: Towards Low Bitrate and Low Complexity Real-Time Neural Audio Codec Andong Li, Linping Xu, Zhe Han, Lingling Dai, Yiqing Guo, Hua Gao, Xiaodong Li, Chengshi Zheng
LRAC-AS-18800 PHOENIXCODEC: Taming Neural Speech Coding For Extreme Low-Resource Scenarios Zixiang Wan, Haoran Zhao, Guochang Zhang, Runqiang Han, Jianqiang Wei, Yuexian Zou

PA2. LRAC Challenge Design and Outcomes

Paper ID Title Authors
LRAC-AS-18778 Low-Resource Audio Codec (LRAC): 2025 Challenge Description Kamil Wojcicki, Yusuf Isik, Laura Lechler, Mansur Yesilbursa, Ivana Balić, Wolfgang Mack, Rafał Łaganowski, Guoqing Zhang, Yossi Adi, Minje Kim

PA3. Broader Impacts and Applications

Paper ID Title Authors
LRAC-AS-18780 Exploring Disentangled Neural Speech Codecs from Self-Supervised Representations Ryo Aihara, Yoshiki Masuyama, François Germain, Gordon Wichern, Jonathan Le Roux
LRAC-AS-18807 Attention-Guided Audio Compression for Multimodal LLMs Prerana Rane, Amitesh Vatsa, Yash Pethe, Ogan Batu Aktolun, Kevin Li, Ishan Singh

PA4. Non-Archival Track

Paper ID Title Authors
LRAC-NAS-1 Personalized Low-Bitrate Coded Speech Restoration Via Embedding Conditioning And Cluster-Based Model Selection Eray Özgünay, Christian Rollwage, Jan Rennies, Xavier Domont, Mattes Ohlenbusch, Simon Doclo
LRAC-NAS-2 How Training Data Affects Speech-Enhancing Neural Codecs: A Data-Centric Study Under Low-Bitrate Constraints S.A. Raczyński and E. Gómez and K. Główczewski and M. Olszewski and K. Duzinkiewicz and M. Kraiński

Panel Discussion

May 4, 2026 · 17:00 – 18:00 · 60 min

Topic Are Neural Codecs Ready for Low-Resource Reality? Potentials and Pitfalls in the AI Era.
Host Minje Kim
Panelists Yossi Adi, Nicola Pia, Jean-Marc Valin, and Cullen Jennings

Back to top


Workshop Day: