IgboASR: End-to-End Speech Recognition for Igbo

For Fon language, see here.

Motivation

This is based on our work on automatic speech recognition models for Igbo and Fon. This study led to a paper, OkwuGbé: End-to-End Speech Recognition for Fon and Igbo, accepted at the AfricaNLP workshop of EACL 2021.

OkwuGbé is a step towards building speech recognition systems for African low-resourced languages. Using Fon and Igbo as our case study, we conduct a comprehensive linguistic analysis of each language and describe the creation of end-to-end, deep neural network-based speech recognition models for both languages. Ende-to-end automatic speech recognition model for Igbo language.

Experiments

Here is the open-source code for the model and data preprocessing steps for Igbo language. For the full model architecture, see here

Citation

Please cite our paper using the citation below if you use our work in anyway.

@inproceedings{Dossou2021OkwuGbeES, title={OkwuGb'e: End-to-End Speech Recognition for Fon and Igbo}, author={Bonaventure F. P. Dossou and Chris C. Emezue}, year={2021} }