Automatic Speech Recognition for Ethiopian Languages 🇪🇹
⚒️ Model Description
Ethio-ASR is suite of multilingual Automatic Speech Recognition (ASR) models that support five Ethiopian languages: for Amharic, Tigrinya, Afaan Oromo, Sidama, and Wolaytta.
This model instance is based on the pre-trained model
wav2vec2‑bert-2.0
by fine-tuning it on the
WAXAL Speech Dataset
.
Developed by:
Ethio-ASR Team
Task:
Speech Recognition (ASR) and Language Identification (LID)
Languages:
Amharic, Tigrinya, Afaan Oromo, Sidama, and Wolaytta
License:
CC-BY-4.0
Finetuned from:
facebook/w2v-bert-2.0
🎧 Direct Use
from transformers import AutoModelForCTC, AutoProcessor
import torchaudio, torch
processor = AutoProcessor.from_pretrained("badrex/Ethio-ASR-multilingual-600M")
model = AutoModelForCTC.from_pretrained("badrex/Ethio-ASR-multilingual-600M")
audio, sr = torchaudio.load("audio.wav")
inputs = processor(audio.squeeze(), sampling_rate=sr, return_tensors="pt")
with torch.no_grad():
logits = model(**inputs).logits
pred_ids = torch.argmax(logits, dim=-1)
transcription = processor.batch_decode(pred_ids)[0]
print(transcription)
🔧 Downstream Use
Voice assistants
Accessibility tools
Research baselines
🚫 Out‑of‑Scope Use
Languages outside Amharic, Tigrinya, Afaan Oromo, Sidama, and Wolaytta.
High‑stakes deployments without human review
Noisy audio without speech enhancement
⚠️ Risks & Limitations
Performance might vary across dialects, genders, ages, and recording quality.
📌 Citation
@misc{ethio_asr_2026,
author = {
Abdullah, Badr M. and
Azime, Israel Abebe and
Tonja, Atnafu Lambebo and
Alabi, Jesujoba O. and
Alemu, Abel Mulat and
Hagos, Eyob G. and
Balcha, Bontu Fufa and
Nerea, Mulubrhan A. and
Yadeta, Debela Desalegn and
Marilign, Dagnachew Mekonnen and
Fentahun, Amanuel Temesgen and
Kebede, Tadesse and
Gebru, Israel D. and
Woldeyohannis, Michael Melese and
Sewunetie, Walelign Tewabe and
Möbius, Bernd and
Klakow, Dietrich
},
title = {Ethio-ASR: Joint Multilingual Speech Recognition and Language Identification for Ethiopian Languages},
year = {2026},
howpublished = {\url{https://huggingface.co/badrex/Ethio-ASR-multilingual-600M}}
}
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