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

arXiv: https://arxiv.org/abs/2501.13250 · HTML: https://mlsanity.com/paper/2501.13250/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Jan 2025.

## Built on by (most cited first, 9 of 9)

- [DiffusionRIR: Room Impulse Response Interpolation using Diffusion Models](https://mlsanity.com/paper/2504.20625/) (2025)
- [MB-RIRs: a Synthetic Room Impulse Response Dataset with Frequency-Dependent Absorption Coefficients](https://mlsanity.com/paper/2507.09750/) (2025)
- [Room-acoustic simulations as an alternative to measurements for audio-algorithm evaluation](https://mlsanity.com/paper/2509.05175/) (2025)
- [Treble10: A high-quality dataset for far-field speech recognition, dereverberation, and enhancement](https://mlsanity.com/paper/2510.23141/) (2025)
- [RIR-Former: Coordinate-Guided Transformer for Continuous Reconstruction of Room Impulse Responses](https://mlsanity.com/paper/2602.01861/) (2026)
- [Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training](https://mlsanity.com/paper/2504.14409/) (2025)
- [Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation](https://mlsanity.com/paper/2605.00721/) (2026)
- [Dependence on Early and Late Reverberation of Single-Channel Speaker Distance Estimation](https://mlsanity.com/paper/2605.07694/) (2026)
- [SF-Flow: Sound field magnitude estimation via flow matching guided by sparse measurements](https://mlsanity.com/paper/2605.10398/) (2026)

## Abstract (arXiv)

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.