omarnabk/zindi-ai4d-wolof

4th place solution to Zindi's low-resource automatic speech recognition competition

AI4D Baamtu Datamation - Automatic Speech Recognition in Wolof Solution

The repository contains the 4th place solution to Zindi's low-resource automatic speech recognition competition. The goal of the competition was to build a system that allows people to navigate public transport without being able to read or speak French - the language heavily used in the naming of local landmarks.

The solution consists of a finetuned wav2vec2-xlsr model, with predictions decoded using an n-gram language model and a nearest-neighbour search. Read the short description of the solution here

Hardware

The script was tested on a high-RAM P100 Google Colab session. The full run should take about 6 hours.

Steps

1. Place files in /content/zindi-ai4d-wolof
2. Place competition data in /content/zindi-ai4d-wolof/data
3. Run run.sh

The output file is /content/zindi-ai4d-wolof/submission.csv