Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation
The Room Acoustics and Speaker Distance Estimation (SDE) Challenge at ICASSP 2025 explores the effectiveness of augmented room impulse response (RIR) data for improving SDE model performance. This challenge at GenDARA involves generating RIRs to supplement sparse datasets and fine-tuning SDE models with the augmented data. We employ the open-source fast diffuse room impulse response generator (FastRIR) conditioned only on speaker and listener locations. We design a quality filter to ensure generated RIR alignment with challenge RIRs, and hyperparameter optimization is employed for model fine-tuning. Our approach reduces the mean absolute error (MAE) of the five positions from 1.66m to 0.6...
| Authors | Anton Ratnarajah, Mehmet Ergezer, Arun Nair et al. |
|---|---|
| Primary category | cs.SD |
| Published | 1 May 2026 |
| Last updated at source | 1 May 2026 |
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