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

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.

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Published
2024-09-30
DOI
https://doi.org/10.1109/is262782.2024.10704190
Primary Topic
Speech Recognition and Synthesis
Type
article
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article

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

Andrea Bianco, Cristina Rottondi, Matteo Sacchetto, Leonardo Severi
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Speech Recognition and Synthesis
article

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

Andrea Bianco, Cristina Rottondi, Matteo Sacchetto, Leonardo Severi
article en

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.

Politecnico di Torino (IT)
Openalex Percentile: Top 85%
Speech Recognition and Synthesis
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