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JusperLee authored Aug 23, 2024
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# LibriSpace: A Simulated Moving Audio Dataset for Speech Enhancement and Separation
# LibriSpace: A Simulated Audio Toolkit for Speech Enhancement and Separation

Welcome to the LibriSpace repository! This dataset has been created using SoundSpaces 2.0 to simulate environments with randomly placed microphones, sound sources, and noise sources. By moving sound sources, we have constructed a dynamic speech separation and speech enhancement dataset. The dataset includes speech from the LibriSpeech dataset and noise from the Freesound Dataset 50k (FSD50K) and the Free Music Archive (FMA). Music from FMA has been preprocessed using a pre-trained BSRNN music separation model to remove vocals. All audio in this dataset is sampled at 16 kHz and each sample is 60 seconds long.

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If you use this dataset in your research, please cite our repository as follows:

```
@misc{LibriSpace2024,
title={LibriSpace: A Simulated Audio Dataset for Speech Enhancement and Separation},
author={Kai Li, Wendi Sang, Chang Zeng, Runxuan Yang, Guo Chen, Xiaolin Hu},
@online{LibriSpace2024,
title={LibriSpace: A Simulated Audio Toolkit for Speech Enhancement and Separation},
author={Li, Kai and Sang, Wendi and Zeng, Chang and Yang, Runxuan and Chen, Guo and Hu, Xiaolin},
year={2024},
publisher = {GitHub}
url = {https://github.com/JusperLee/LibriSpace/},
urldate = {2024-7-23}
}
```

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