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.
2025
2025 IEEE 6th International Symposium on the Internet of Sounds, IS2 2025
audio packet loss concealment
networked immersive audio
networked music performance
File in questo prodotto:
File Dimensione Formato  
The_IEEE-IS2_2025_Music_Packet_Loss_Concealment_Challenge.pdf

Accesso riservato

Descrizione: Paper
: Publisher’s version
Dimensione 3.03 MB
Formato Adobe PDF
3.03 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1311940
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact