该脚本用于生成THM数据集。THM是基于清华大学的中文语音数据集THCHS30生成的袖珍语音分离数据集，加入的噪声选用wham的48khz噪声。数据集包含4000个train，800个dev及2000个test音频。方便在极度缺少算力的情况下对中文音频分离的效果评估。愿天下学生都不缺显卡。为运行该脚本，需要下载THCHS30数据集，wham的48k噪声及wham生成脚本。请勿改变这些文件的目录结构。
These scripts are used to generate the THM, a tiny dataset for speech separation task. It is derivied from the mandarin dataset THCHS30 and noise dataset WHAM!48kHz noise dataset. THM contains 4000 samples for train, 800 for dev and 2000 for test. Scripts are based on WHAM and wsj0-mix.
wham_scripts need to be placed under this folder. Unzip file and put it under the folder, do not make any change.
To generate wav files, you also need to place high_res_wham (can be found on wham website) and THCHS30 under this folder. Script to generate wav files:
./local/createMixture.py
Folder should look like this:
THM
|--high_res_wham
|--local
|--THCHS30
|--wham_scripts
|--gen.sh
You can use:
./gen.sh --stage 2 --src 2
to generate wav file using default json. Mixed audio will be placed in ./mix. Folder mix_clean contain mixed audio with NO noise, like wsj0-mix, wav files under mix_both are noise added.
Default json files are placed under local/metafile. If you want to gen your own dataset, scripts can be found under:
./local/genRecipe.py
or type:
./gen.sh --stage 1 --src 2 --n_tr 4000
./gen.sh --stage 1 --src 3 --n_tr 4000 --n_pre -1 --n_sp 3
./gen.sh --stage 1 --src 4 --n_tr 4000 --n_pre 5 --n_sp 5
to generate a new 2/3/4 speakers mixture json file.
- noise mixed
- support any number of speakers
- both single and multi-channel mixture
- 2020/10/31: Have a plan.
- 2020/11/1: Finished 2spk-min-8k-gen.
- 2020/11/9: Support 3 speakers mixture.
- 2020/11/14: Refactor code, now support any #spks mixture.
- 2020/11/14: add a bash script.
- 2021/4/8: add support for multichannel