We present the IEEE-IS2 2025 Music Packet Loss Concealment Challenge. Building on the foundations laid in the inaugural edition, this second installment of the challenge introduces improved evaluation metrics and a newly curated test set. In this paper, we outline the challenge rules, detail the construction of the validation and blind test sets, discuss the evaluation methodology used to benchmark participant submissions, and present the results. Continuing to bridge the communities of signal processing, machine learning, and networked music performance, the IEEE-IS2 2025 Music Packet Loss Concealment Challenge further advances the state of the art in packet loss concealment for music signals and promotes the development of robust, perceptually-aware algorithms suitable for real-world immersive audio applications.
The IEEE-IS2 2025 Music Packet Loss Concealment Challenge
Mezza, Alessandro Ilic;Bernardini, Alberto;
2025-01-01
Abstract
We present the IEEE-IS2 2025 Music Packet Loss Concealment Challenge. Building on the foundations laid in the inaugural edition, this second installment of the challenge introduces improved evaluation metrics and a newly curated test set. In this paper, we outline the challenge rules, detail the construction of the validation and blind test sets, discuss the evaluation methodology used to benchmark participant submissions, and present the results. Continuing to bridge the communities of signal processing, machine learning, and networked music performance, the IEEE-IS2 2025 Music Packet Loss Concealment Challenge further advances the state of the art in packet loss concealment for music signals and promotes the development of robust, perceptually-aware algorithms suitable for real-world immersive audio applications.| File | Dimensione | Formato | |
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