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The IEEE-IS2 2024 Music Packet Loss Concealment Challenge

Alessandro Ilic Mezza, Alberto Bernardini

TL;DR

This inaugural edition of the IEEE-IS2 2024 Music Packet Loss Concealment Challenge aimed to foster collaboration between researchers and practitioners from the fields of signal processing, machine learning, and networked music performance, while also laying the groundwork for future advancements in packet loss concealment for music signals.

Abstract

We present the IEEE-IS2 2024 Music Packet Loss Concealment Challenge. We begin by detailing the challenge rules, followed by an overview of the provided baseline system, the blind test set, and the evaluation methodology used to determine the final ranking. This inaugural edition aimed to foster collaboration between researchers and practitioners from the fields of signal processing, machine learning, and networked music performance, while also laying the groundwork for future advancements in packet loss concealment for music signals.

The IEEE-IS2 2024 Music Packet Loss Concealment Challenge

TL;DR

This inaugural edition of the IEEE-IS2 2024 Music Packet Loss Concealment Challenge aimed to foster collaboration between researchers and practitioners from the fields of signal processing, machine learning, and networked music performance, while also laying the groundwork for future advancements in packet loss concealment for music signals.

Abstract

We present the IEEE-IS2 2024 Music Packet Loss Concealment Challenge. We begin by detailing the challenge rules, followed by an overview of the provided baseline system, the blind test set, and the evaluation methodology used to determine the final ranking. This inaugural edition aimed to foster collaboration between researchers and practitioners from the fields of signal processing, machine learning, and networked music performance, while also laying the groundwork for future advancements in packet loss concealment for music signals.
Paper Structure (11 sections, 5 equations, 6 figures, 3 tables)

This paper contains 11 sections, 5 equations, 6 figures, 3 tables.

Figures (6)

  • Figure 1: Results of the MUSHRA test.
  • Figure 2: Objective metrics computed on the entire blind test set.
  • Figure 3: Box-and-whisker plots of the individual trials in the MUSHRA test.
  • Figure 4: Box-and-whisker plots of the individual trials in the MUSHRA test (cont.)
  • Figure 5: Average scores and $95\%$ confidence intervals of the individual trials in the MUSHRA test.
  • ...and 1 more figures