badrex
/

Ethio-ASR-tigrinya

@@ -1,199 +1,126 @@
 ---
 library_name: transformers
-tags: []
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 ---
 library_name: transformers
+license: cc-by-4.0
+datasets:
+- google/WaxalNLP
+metrics:
+- wer
+- cer
+language:
+- ti
+base_model:
+- facebook/w2v-bert-2.0
+pipeline_tag: automatic-speech-recognition
+tags:
+- tigrinya
 ---
+<div align="center">
+<img src="ethio-asr-logo.png" alt="Ethio-ASR Logo" width="600">
+</div>
+<div align="center" style="line-height: 1; transform: scale(1.4);">
+  <a href="https://huggingface.co/datasets/google/WaxalNLP" target="_blank" style="margin: 2px;">
+    <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-ffc107?color=ffca28&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  <a href="https://huggingface.co/spaces/badrex/Ethio-ASR-multilingual-demo" target="_blank" style="margin: 2px;">
+    <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Space-ffc107?color=c62828&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  <a href="https://creativecommons.org/licenses/by/4.0/deed.en" style="margin: 2px;">
+    <img alt="License" src="https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+<h3 style="text-align: center; font-size: 24px; color:#C70039;">
+arXiv 📖 <a href="https://arxiv.org/pdf/2603.23654">[ preprint ]</a>
+</h3>
+## ⚒️ Model Description
+Ethio-ASR is a suite of Automatic Speech Recognition (ASR) models for Ethiopian languages.
+This repo contains a **monolingual Tigrinya ASR model** based on [wav2vec2‑bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0), fine-tuned on the Tigrinya subset of the [WAXAL Speech Dataset](https://huggingface.co/datasets/google/WaxalNLP).
+- **Developed by:** Ethio-ASR Team
+- **Task:** Speech Recognition (ASR)
+- **Language:** Tigrinya
+- **License:** CC-BY-4.0
+- **Finetuned from:** facebook/w2v-bert-2.0
+## 📈 Evaluation on WAXAL Test Set (Tigrinya)
+*📌 ASR model in this HF repo*
+| Model | # Params | Tigrinya WER (↓) |
+|------|----------|----------|
+| Ethio-ASR (afrihubert) | 94M | 42.42 |
+| Ethio-ASR (mms-300) | 300M | 41.62 |
+| Ethio-ASR (mms-1b) | 1B | 37.63 |
+| Ethio-ASR (w2v-bert-2.0) | 600M | **35.22** |
+| **Monolingual SFT (w2v-bert-2.0)** 📌 | 600M | 35.65 |
+## 🎧 Direct Use
+``` python
+from transformers import AutoModelForCTC, AutoProcessor
+import torchaudio, torch
+processor = AutoProcessor.from_pretrained("badrex/Ethio-ASR-tigrinya")
+model = AutoModelForCTC.from_pretrained("badrex/Ethio-ASR-tigrinya")
+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 other than Tigrinya
+-   High‑stakes deployments without human review
+-   Noisy audio without speech enhancement
+## ⚠️ Risks & Limitations
+Performance might vary across dialects, genders, ages, and recording quality.
+## 📌 Citation
+``` bibtex
+@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}}
+}
+```