RIR-Mega-Speech: A Reverberant Speech Corpus with Comprehensive Acoustic Metadata and Reproducible Evaluation
Paper • 2601.19949 • Published • 3
Datasets:
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RIRMega-Eval
Official benchmark views and evaluation harness artifacts built from:
mandipgoswami/rirmega:[https://huggingface.co/datasets/mandipgoswami/rirmega], arxiv: [https://arxiv.org/abs/2510.18917]mandipgoswami/rir-mega-speech: [https://huggingface.co/datasets/mandipgoswami/rir-mega-speech], arxiv: [https://arxiv.org/abs/2601.19949]
This HF repo stores:
- metadata parquet
- fixed splits
- checksums + manifest
- (optional) a small core audio subset
Tasks
v1_param_estimation: RIR -> RT60, EDT, DRR, C50, C80, Tsv1_auralization_consistency: (dry + RIR) -> convolved comparisons
How to evaluate
Use the official evaluator:
- Code: https://github.com/mandip42/rirmega-eval
- CLI:
python scripts/evaluate.py ...
Citation
See CITATION.cff in the code repo.
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