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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- audio-to-audio |
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- audio-classification |
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tags: |
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- rir |
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- acoustics |
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- benchmark |
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- evaluation |
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--- |
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# RIRMega-Eval |
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Official benchmark views and evaluation harness artifacts built from: |
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- `mandipgoswami/rirmega` :[https://huggingface.co/datasets/mandipgoswami/rirmega], arxiv: [https://arxiv.org/abs/2510.18917] |
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- `mandipgoswami/rir-mega-speech` : [https://huggingface.co/datasets/mandipgoswami/rir-mega-speech], arxiv: [https://arxiv.org/abs/2601.19949] |
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This HF repo stores: |
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- metadata parquet |
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- fixed splits |
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- checksums + manifest |
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- (optional) a small core audio subset |
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## Tasks |
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- `v1_param_estimation`: RIR -> RT60, EDT, DRR, C50, C80, Ts |
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- `v1_auralization_consistency`: (dry + RIR) -> convolved comparisons |
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## How to evaluate |
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Use the official evaluator: |
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- Code: https://github.com/mandip42/rirmega-eval |
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- CLI: `python scripts/evaluate.py ...` |
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## Citation |
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See `CITATION.cff` in the code repo. |
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