Simulated Room Impulse Response for 44.1k Audio

We randomly simulated a collection of Room Impulse Response filters to simulate the 44.1kHz speech room reverberation using an open-source tool (https://github.com/sunits/rir_simulator_python). The meters of height, width, and length of the room are sampled randomly in a uniform distribution U(1,12). The placement of the microphone is then randomly selected within the room space. For the placement of the sound source, we first determined the distance between the microphone and sound source, which is randomly sampled in a Gaussian distribution N(\mu,\sigma^2), \mu=2, \sigma=4. If the sampled value is negative or greater than five meters, we will sample the distance again until it meets the requirement. After determined the distance between the microphone and sound source, the placement of the sound source is randomly selected on the sphere centered at the microphone. The RT60 value we choose comes from the uniform distribution U(0.05,1.0). For the pickup pattern of the microphone, we randomly choose from types omnidirectional and cardioid. 

If you found this dataset helpful, please consider citing: 

@article{liu2021voicefixer,
title={VoiceFixer: Toward General Speech Restoration with Neural Vocoder},
author={Liu, Haohe and Kong, Qiuqiang and Tian, Qiao and Zhao, Yan and Wang, DeLiang and Huang, Chuanzeng and Wang, Yuxuan},
journal={arXiv preprint arXiv:2109.13731},
year={2021}
}