The ICASSP 2024 Audio Deep Packet Loss Concealment Grand Challenge

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.

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Publication Details

Journal
IEEE Open Journal of Signal Processing
Published
2025-01-01
DOI
https://doi.org/10.1109/ojsp.2025.3526552
Citations
7
Primary Topic
Advanced Data Compression Techniques
Type
article
Field-Weighted Citation Impact
8.93
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article

The ICASSP 2024 Audio Deep Packet Loss Concealment Grand Challenge

Lorenz Diener, Ando Saabas, Ross Cutler, Solomiya Branets
7 citations
IEEE Open Journal of Signal Processing
Advanced Data Compression Techniques
8.93
article

The ICASSP 2024 Audio Deep Packet Loss Concealment Grand Challenge

Lorenz Diener, Ando Saabas, Ross Cutler, Solomiya Branets
article en
7 citations

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.

IEEE Open Journal of Signal ProcessingVol. 6
Microsoft (United States) (US), Microsoft (Finland) (FI)
Openalex Percentile: Top 2%
Advanced Data Compression Techniques
8.93
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