This repository contains the datasets list and scripts required for the ConferencingSpeech challenge. For more details about the challenge, please see our website.

• baseline, this folder contains baseline system include inference model exported by onnx and inference scripts;

• eval, this folder contains evaluation scripts to calculate PESQ, STOI and SI-SNR;

• selected_lists, the selected wave about train speech and noise wave name from aishell-1, aishell-3, librispeech-360, VCTK, MUSAN, Audioset. Each participant is only allowed to use the selected speech and noise data below :

  • selected_lists/dev/circle.name circle RIR wave utt name of dev set
  • selected_lists/dev/linear.name linear RIR wave utt name of dev set
  • selected_lists/dev/non_uniform.name non uniform linear RIR wave utt name of dev set
  • selected_lists/dev/clean.name wave utt name of dev set used clean set
  • selected_lists/dev/noise.name wave utt name of dev set used noise set
  • selected_lists/train/aishell_1.name wave utt name from aishell-1 set used in train set
  • selected_lists/train/aishell_3.name wave utt name from aishell-3 set used in train set
  • selected_lists/train/librispeech_360.name wave utt name from librispeech-360 set used in train set
  • selected_lists/train/vctk.name wave utt name from VCTK set used in train set
  • selected_lists/train/audioset.name wave utt name from Audioset used in train set
  • selected_lists/train/musan.name wave utt name from MUSAN used in train set
  • selected_lists/train/circle.name circle wave RIR name of train set
  • selected_lists/train/linear.name linear wave RIR name of train set
  • selected_lists/train/non_uniform.name non unifrom linear RIR utt name of train set

• simulation, about simulation scripts, how to use to see ReadMe

  • simulation/mix_wav.py simulate dev set and train set
  • simulation/prepare.sh use selected_lists/*/*name to select used wave from downloaded raw data, or you can select them by yourself scripts.
  • simulation/quick_select.py quickly select the name by a name list instead of grep -r -f
  • simulation/challenge_rirgenerator.py the script to simulate RIRs in train and dev set
  • simulation/data/dev_circle_simu_mix.config dev circle set simulation setup, include clean wave, noise wave, rir wave, snr, volume scale, start point
  • simulation/data/dev_linear_simu_mix.config dev linear set simulation setup, include clean wave, noise wave, rir wave, snr, volume scale, start point
  • simulation/data/dev_non_uniform_linear_simu_mix.config dev non uniform linear set simulation setup, include clean wave, noise wave, rir wave, snr, volume scale, start point
  • simulation/data/train_circle_simu_mix.config train circle set simulation setup, include clean wave, noise wave, snr, volume scale, start point; please download it from dropbox.
  • simulation/data/train_linear_simu_mix.config train linear set simulation setup, include clean wave, noise wave, snr, volume scale, start point; please download it from dropbox.
  • simulation/data/train_non_uniform_linear_simu_mix.config train non uniform linear set simulation setup, include clean wave, noise wave, snr, volume scale, start point; please download it from dropbox.

• requirements.txt, dependency

Notes:

1. \*.config file should be replaced with correct path of audio files.
2. Training config files have been released together with challenge data.

python3.6 or above

pip install -r requirements.txt

if you simulation RIRs by yourself with our scripts, you may better install this:

pyrirgen

Apache 2.0