https://github.com/asteroid-team/libri_vad

Script to generate VAD dataset used in Asteroid recipe
https://github.com/asteroid-team/libri_vad

Last synced: 8 days ago
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Script to generate VAD dataset used in Asteroid recipe

• Host: GitHub
• URL: https://github.com/asteroid-team/libri_vad
• Owner: asteroid-team
• License: mit
• Created: 2021-09-28T07:17:21.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-09-30T19:14:14.000Z (about 3 years ago)
• Last Synced: 2023-03-04T05:13:30.437Z (over 1 year ago)
• Language: Python
• Size: 1.79 MB
• Stars: 12
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# About the dataset

LibriVAD is an open source dataset for voice activity detection in noisy environments. 

It is derived from LibriSpeech signals (clean subset) and DNS challenge noises.

# Generating LibriVAD

You need to download [LibriSpeech](https://www.openslr.org/12), the noise from the [DNS Challenge](https://github.com/microsoft/DNS-Challenge) (datasets/noise)

and the [forced alignments](https://zenodo.org/record/2619474#.YVLPu3s6_JV).

To generate LibriVAD, clone the repo and run the main script : `run.sh`

(edit `run.sh` with correct paths)

```

git clone https://github.com/JorisCos/LibriMix

cd LibriMix 

./run.sh storage_dir

```