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mandipgoswami
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rirmega-eval

Tasks:

Audio Classification

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license: cc-by-nc-4.0
task_categories:
  - audio-to-audio
  - audio-classification
tags:
  - rir
  - acoustics
  - benchmark
  - evaluation

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, Ts
v1_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.