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arxiv: 2501.13250 · v1 · pith:WLQM7452 · submitted 2025-01-22 · eess.AS · cs.SD

Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation

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classification eess.AS cs.SD
keywords challengegenerativeaugmentationdataroomacousticsdatasetdistance
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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.

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