Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation
Abstract
This paper describes the synthesis of the room acoustics challenge as a part of the generative data augmentation workshop at ICASSP 2025. The challenge defines a unique generative task that is designed to improve the quantity and diversity of the room impulse responses dataset so that it can be used for spatially sensitive downstream tasks: speaker distance estimation. The challenge identifies the technical difficulty in measuring or simulating many rooms' acoustic characteristics precisely. As a solution, it proposes generative data augmentation as an alternative that can potentially be used to improve various downstream tasks. The challenge website, dataset, and evaluation code are available at https://sites.google.com/view/genda2025.
Keywords
Cite
@article{arxiv.2501.13250,
title = {Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation},
author = {Jackie Lin and Georg Götz and Hermes Sampedro Llopis and Haukur Hafsteinsson and Steinar Guðjónsson and Daniel Gert Nielsen and Finnur Pind and Paris Smaragdis and Dinesh Manocha and John Hershey and Trausti Kristjansson and Minje Kim},
journal= {arXiv preprint arXiv:2501.13250},
year = {2025}
}
Comments
Accepted to the Workshop on Generative Data Augmentation at ICASSP 2025. Challenge website: https://sites.google.com/view/genda2025