@article{diener2025icassp,
  title        = {The ICASSP 2024 Audio Deep Packet Loss Concealment Grand Challenge},
  author       = {Diener, Lorenz and Branets, Solomiya and Saabas, Ando and Cutler, Ross},
  year         = 2025,
  month        = jan,
  journal      = {IEEE Open Journal of Signal Processing},
  volume       = {(accepted, early acccess)},
  pages        = {1--8},
  abstract     = {Audio packet loss concealment hides gaps in VoIP audio streams caused by network
    packet loss. It operates in real-time with low computational requirements and latency, as
    demanded by modern communication systems. With the ICASSP 2024 Audio Deep Packet Loss
    Concealment Grand Challenge, we build on the success of the previous Audio PLC Challenge held at
    INTERSPEECH 2022. For the 2024 challenge at ICASSP, we update the challenge by introducing an
    overall harder blind evaluation set and extending the task from wideband to fullband audio, in
    keeping with current trends in internet telephony. In addition to the Word Accuracy metric, we
    also use a questionnaire based on an extension of ITU-T P.804 to more closely evaluate the
    performance of systems specifically on the PLC task. We evaluate a total of 9 systems submitted
    by different academic and industry teams, 8 of which satisfy the strict real-time performance
    requirements of the challenge, using both P.804 and Word Accuracy evaluations. Two systems share
    first place, with one of the systems having the advantage in terms of naturalness, while the
    other wins in terms of intelligibility. These systems are the current state of the art for Deep
    PLC.},
  code         = {https://aka.ms/plc-challenge},
  url          = {https://halcy.de/cites/pdf/diener2025icassp.pdf},
}