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. Usage The model can be used as follows: Training The code to train this model is available at https://github.com/agkphysics/amharic asr.
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