Southern Kurdish ASR
Wav2Vec-BERT CTC model for Southern Kurdish (SDH) automatic speech recognition.
Model Description
- Language: Southern Kurdish (SDH)
- Architecture: Wav2Vec-BERT 2.0 CTC
- Training data: 30 hours of validated read speech
- Task: Automatic Speech Recognition
Evaluation
Southern Kurdish Part of Frezar benchmark
| Model | CER | WER |
|---|---|---|
| Wav2Vec-BERT CTC | 4.09 | 24.26 |
Dataset
The model was trained and evaluated using resources developed for Southern Kurdish ASR.
Paper
Mohammadamini, Mohammad and Tahon, Marie. Southern Kurdish Speech Recognition Resources and Benchmarking. Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026).
Citation
@inproceedings{mohammadamini-tahon-2026-southern,
title = "Southern Kurdish Speech Recognition Resources and Benchmarking",
author = "Mohammadamini, Mohammad and Tahon, Marie",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
year = "2026",
pages = "5538--5544",
doi = "10.63317/2rkqhw7hmo2d"
}