agkphysics

Amharic ASR using fine-tuned Wav2vec2 XLSR-53 This is a finetuned version of facebook/wav2vec2-large-xlsr-53 trained on the Amharic Speech Corpus. This corpus was produced by Abate et al. (2005) (10.21437/Interspeech.2005-467). The model achieves a WER of 26% and a CER of 7% on the validation set of the Amharic Readspeech data. Training The code to train this model is available at https://github.com/agkphysics/amharic-asr.