This paper introduces DUST, a dataset composed of UDP audio packet traces generated by a real-Time Networked Music Performance system. The dataset includes a variety of files collected under different network and device configurations. Each file combines traces of incoming audio packets with local playback status information. The dataset aims to support of-fline simulations of real-Time audio streaming systems, aiding the development of algorithms to address challenges such as packet loss concealment, network jitter resilience, and clock drift compensation.

Introducing DUST: A Dataset of Real-Time UDP Sound Packet Traces / Severi, Leonardo; Sacchetto, Matteo; Bianco, Andrea; Rottondi, Cristina. - (2024), pp. 1-4. (Intervento presentato al convegno 5th IEEE International Symposium on the Internet of Sounds, IS2 2024 tenutosi a Erlangen (DE) nel 30 September - 2 October 2024) [10.1109/is262782.2024.10704190].

Introducing DUST: A Dataset of Real-Time UDP Sound Packet Traces

Severi, Leonardo;Sacchetto, Matteo;Bianco, Andrea;Rottondi, Cristina
2024

Abstract

This paper introduces DUST, a dataset composed of UDP audio packet traces generated by a real-Time Networked Music Performance system. The dataset includes a variety of files collected under different network and device configurations. Each file combines traces of incoming audio packets with local playback status information. The dataset aims to support of-fline simulations of real-Time audio streaming systems, aiding the development of algorithms to address challenges such as packet loss concealment, network jitter resilience, and clock drift compensation.
2024
979-8-3503-6652-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2994947