RIR-Mega v1.2.1: Synthetic Room Impulse Responses for Benchmarking (50k linear + 8k circular)

RIR-Mega v1.2.1 contains 50,000 linear-array and 8,000 circular-array synthetic room impulse responses with JSON metadata. Families include offices, classrooms, living rooms, corridors, and warehouses. Each item includes room geometry, source/microphone coordinates, RT60 (Schroeder + Sabine), DRR, C50, C80, and a reproducibility seed. Associated code, validation tools, and baselines: see Paper (arXiv). (see GitHub (RIR-Mega). Benchmark tasks and leaderboard: see Hugging Face (HF-RIR-Mega). 🔖 How to Cite If RIR-Mega helps your research, please cite both the paper and the dataset: Paper Goswami, M. (2025). RIR-Mega: A Large-Scale Room Impulse Response Corpus with Benchmarks for Industrial and Building Acoustics. arXiv:2510.18917. https://arxiv.org/abs/2510.18917 Dataset Goswami, M. (2025). RIR-Mega Dataset (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.17387402 @misc{goswami2025rirmega, title = {RIR-Mega: A Large-Scale Room Impulse Response Corpus with Benchmarks for Industrial and Building Acoustics}, author = {Goswami, Mandip}, year = {2025}, eprint = {2510.18917}, archivePrefix= {arXiv}, primaryClass = {cs.SD}, url = {https://arxiv.org/abs/2510.18917} } @dataset{goswami_2025_rirmega_zenodo, author = {Goswami, Mandip}, title = {RIR-Mega Dataset}, year = {2025}, publisher = {Zenodo}, version = {v1.0.0}, doi = {10.5281/zenodo.17387402}, url = {https://doi.org/10.5281/zenodo.17387402} } Goswami, M. (2025). RIR-Mega: A Large-Scale Room Impulse Response Corpus with Benchmarks for Industrial and Building Acoustics. arXiv:2510.18917. https://arxiv.org/abs/2510.18917 Goswami, M. (2025). RIR-Mega Dataset (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17387402