mandipgoswami/LibriRIR-100
LibriRIR-100 Dataset Summary LibriRIR-100 is a large-scale paired clean↔reverberant speech training corpus containing exactly 100 hours of speech. Each utterance is paired with a room impulse response from RIR-Mega (mandipgoswami/rirmega), stratified across four RT60 reverberation conditions. Designed as a drop-in training resource for robust ASR, speech enhancement, and dereverberation models. Why LibriRIR-100 Existing paired reverberant speech… See the full description on the dataset page: https://huggingface.co/datasets/mandipgoswami/LibriRIR-100.
| Author / organization | mandipgoswami |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 324 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 4 March 2026 |
| Last updated at source | 4 March 2026 |
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324 now (+14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: LibriRIR-100 Dataset Summary LibriRIR-100 is a large-scale paired clean↔reverberant speech training corpus containing exactly 100 hours of speech. Each utterance is paired with a room impulse response from RIR-Mega (mandipgoswami/rirmega), → LibriRIR-100 Dataset Summary LibriRIR-100 is a large-scale paired clean↔reverberant speech training corpus containing exactly 100 hours of speech. Each utterance is paired with a room impulse response from RIR-Mega (mandipgoswami/rirmega),
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