| This data includes all the room impulse responses (RIRs) and noises |
| we used in our paper "A Study on Data Augmentation of Reverberant Speech for Robust Speech Recognition" |
| submitted to ICASSP 2017. |
| The RIRs and noises in this data are all in 16k sampling rate and 16-bit precision. |
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| Here are the descriptions for each folder in this data: |
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| pointsource_noises: |
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| The point-source noises |
| are sampled from the Freesound portion of the MUSAN corpus. |
| This portion of the corpus contains 843 noise |
| recordings and each of them is manually classified as either |
| a foreground or a background noise. |
| The MUSAN corpus can be downloaded by |
| wget http://www.openslr.org/resources/17/musan.tar.gz |
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| real_rirs_isotropic_noises: |
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| The set of real RIRs is composed of three databases: |
| the RWCP sound scene database, the 2014 REVERB challenge |
| database and the Aachen impulse response database (AIR). |
| Overall there are 325 real RIRs. |
| The isotropic noises available in the real RIR databases are |
| used along with the associated RIRs. |
| Here are the links to download the individual databases: |
| AIR, |
| wget http://www.openslr.org/resources/20/air_database_release_1_4.zip |
| RWCP, |
| wget http://www.openslr.org/resources/13/RWCP.tar.gz |
| 2014 REVERB challenge, |
| wget http://reverb2014.dereverberation.com/tools/reverb_tools_for_Generate_mcTrainData.tgz || exit 1; |
| wget http://reverb2014.dereverberation.com/tools/reverb_tools_for_Generate_SimData.tgz || exit 1; |
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| simulated_rirs |
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| This folder contains the simulated RIRs. |
| Please go to simulated_rirs/README for the details of the data. |
| This simulated RIR data set can also be downloaded from |
| wget http://www.openslr.org/resources/26/sim_rir.zip |
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