aismlv/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`