| --- |
| license: cc-by-4.0 |
| task_categories: |
| - audio-classification |
| - automatic-speech-recognition |
| size_categories: |
| - n<1K |
| pretty_name: MIT Environmental Impulse Response Dataset |
| --- |
| |
| # MIT Environmental Impulse Response Dataset |
|
|
| The audio recordings in this dataset are originally created by the Computational Audition Lab at MIT. The source of the data can be found at: [https://mcdermottlab.mit.edu/Reverb/IR_Survey.html](https://mcdermottlab.mit.edu/Reverb/IR_Survey.html). |
|
|
| This mirror provides the 16 kHz WAV files used for wake-word training augmentation in the Tater Totterson trainer projects. The files were resampled to 16 kHz to keep the dataset small and convenient for machine-learning audio pipelines. |
|
|
| ## License |
|
|
| This impulse-response dataset is released under the [Creative Commons Attribution 4.0 International license](https://creativecommons.org/licenses/by/4.0/). |
|
|
| ## Attribution |
|
|
| Please cite the original paper when using this dataset: |
|
|
| ```bibtex |
| @article{traer2016naturalreverberation, |
| doi = {10.1073/pnas.1612524113}, |
| author = {Traer, James and McDermott, Josh H.}, |
| title = {Statistics of natural reverberation enable perceptual separation of sound and space}, |
| journal = {Proceedings of the National Academy of Sciences}, |
| volume = {113}, |
| number = {48}, |
| pages = {E7856-E7865}, |
| year = {2016}, |
| url = {https://www.pnas.org/doi/abs/10.1073/pnas.1612524113} |
| } |
| ``` |
|
|
