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The pre-simulated universal speech enhancement training and validation set of the ICASSP 2026 URGENT speech enhancement challenge, Track1. Please check our GitHub Repo and webpage for more details.
How to use:
Use tar to decompress the dataset
cat ./urgent26_track2_se_dataset.tgz.* | tar xzv
The pre-simulated dataset can be loaded by the PreSimulatedDataset in the URGENT 2026 baseline code.
Directory structure:
.
├── data
│ ├── train_simulation # train set, including filelist and other meta information
│ │ ├── speech_length.scp # Speech duration in number of sample points.
│ │ ├── spk1.scp # Clean speech file list of ID and audio path.
│ │ ├── utt2fs # ID to sampling rate mapping
│ │ ├── utt2spk # utterance to speaker mapping
│ │ └── wav.scp # Noisy speech file list of ID and audio path.
│ └── validation # validation set, same structure as train
├── simulation_train # audio files and simulation log files
└── simulation_validation # audio files and simulation log files
Note:
- The audios derived from the ESD dataset are not included in this dataset due to licensing concerns. Please apply the license yourself and run our simulation script to generate the complete dataset.
- The main purpose of this dataset is to help everyone get started quickly, eliminating the need for complex data preparation and simulation processes. We recommend dynamically generating degraded speech samples to train a more robust system for the challenge.
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