Jinbo-HU/PSELDNets
PSELDNets: Pre-trained Neural Networks on a Large-scale Synthetic Dataset for Sound Event Localization and Detection Paper GitHub This repo contains 67,000 1-minute clips, amounting to approximately 1,117 hours for training, and 3,060 1-minute clips, amounting to roughly 51 hours for testing. The dataset features an ontology of 170 sound classes and is generated by convolving sound event clips from FSD50K with simulated SRIRs (for training) or collected SRIRs from TAU-SRIR… See the full description on the dataset page: https://huggingface.co/datasets/Jinbo-HU/PSELDNets.
| Author / organization | Jinbo-HU |
|---|---|
| Downloads | 606 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 10 December 2024 |
| Last updated at source | 7 November 2025 |
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606 now (-47 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: PSELDNets: Pre-trained Neural Networks on a Large-scale Synthetic Dataset for Sound Event Localization and Detection Paper GitHub This repo contains 67,000 1-minute clips, amounting to approximately 1,117 hours for training, and 3,060 1-min → PSELDNets: Pre-trained Neural Networks on a Large-scale Synthetic Dataset for Sound Event Localization and Detection Paper GitHub This repo contains 67,000 1-minute clips, amounting to approximately 1,117 hours for training, and 3,060 1-min
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