jsalt2020-simulate

This repository provides a set of tools for generating training data for speech enhancement, speech separation, multi-talker speech recognition, and speaker diarization by simulation. Simulated development and evaluation sets can also be created.

Prerequisites

Automatic installation

Run the following commands to set up an environment.

conda env create -f environment.yml  # Create a conda environment with all dependencies, except for pyrirgen, installed. 
conda activate jsalt2020_simulate
./install.sh <your-data-dir>  # Specify the location where you want the data to be stored.
source ./path.sh  # This is created by install.sh. 
./download.sh  # Download the clean subset of LibriSpeech.

Manual installation

The following Python packages need to be installed in advance.
- webrtcvad
- PySoundFile
- resampy
- pyrirgen
Create path.sh with the following line.
```
export EXPROOT=<your-data-dir>
```
Download and untar the LibriSpeech corpus from http://www.openslr.org/12/, untar them, which can be performed with the following script.
```
./download.sh
```

Examples

See EXAMPLES.md.

Plan

See TODO.md.

Reporting issues

Please report problems with the GitHub issues of this repository. For discussions, please post your feedback to the workshop's Slack channel.

popcornell / jsalt2020_simulate