Intron health promises to build africas first speech powered electronic medical record. Current ASR models do not perform very well with african accent and this is due to the lack of diverse speech datasets that are are fully representative of anglophone african countries.

This project uses open access data to build a dataset of free speech that simulates a conversation between people, an interview or a speech.

Clone the project

  git clone https://link-to-project

Install yt-dlp.
on a linux VM do:

  brew install yt-dlp/taps/yt-dlp

Go to the project directory

  cd Intron_accent_data

Install dependencies

  conda env create -f requirements.yml

Go to Dataset directory

  cd dataset

Run the get_audio script to download youtube dataset

  chmod +x get_audio.sh
  ./get_audio.sh

Run the get_transcripts script to download data get_transcripts

  chmod +x get_transcripts.sh
  ./get_transcripts.sh