@inproceedings{diener2022interspeech,
  title        = {INTERSPEECH 2022 Audio Deep Packet Loss Concealment Challenge},
  author       = {Diener, Lorenz and Sootla, Sten and Branets, Solomiya and Saabas, Ando and
    Aichner, Robert and Cutler, Ross},
  year         = 2022,
  month        = sep,
  booktitle    = {{INTERSPEECH} 2022 - 22nd Annual Conference of the International Speech
    Communication Association},
  video        = {https://www.youtube.com/watch?v=W9gYjas9lB0},
  doi          = {10.21437/Interspeech.2022-10829},
  abstract     = {Audio Packet Loss Concealment (PLC) is the hiding of gaps in audio streams caused
    by data transmission failures in packet switched networks. This is a common problem, and of
    increasing importance as end-to-end VoIP telephony and teleconference systems become the default
    and ever more widely used form of communication in business as well as in personal usage. This
    paper presents the INTERSPEECH 2022 Audio Deep Packet Loss Concealment challenge. We first give
    an overview of the PLC problem, and introduce some classical approaches to PLC as well as recent
    work. We then present the open source dataset released as part of this challenge as well as the
    evaluation methods and metrics used to determine the winner. We also briefly introduce PLCMOS, a
    novel data-driven metric that can be used to quickly evaluate the performance PLC systems.
    Finally, we present the results of the INTERSPEECH 2022 Audio Deep PLC Challenge, and provide a
    summary of important takeaways.},
  code         = {https://aka.ms/plc-challenge},
  url          = {https://halcy.de/cites/pdf/diener2022interspeech.pdf},
}