End-to-End Transformer-based Automatic Speech Recognition for Northern Kurdish: A Pioneering Approach
Authors
Abdulhady Abas Abdullah , Shima Tabibian , Hadi Veisi , Aso Mahmudi , Tarik A. Rashid
arXiv
January 1, 2024
Abstract
Investigates end-to-end automatic speech recognition for Northern Kurdish (Kurmanji) by fine-tuning OpenAI Whisper v3 using multiple adaptation strategies. The work uses the Northern Kurdish portion of Mozilla Common Voice 18.0 and reports a best WER of 10.5% and CER of 5.7%.
Keywords
Automatic Speech Recognition
Northern Kurdish
Kurmanji
Whisper
Transformer
Common Voice
Related Datasets
Mozilla Common Voice 18.0 - Northern Kurdish
2024
Approximately 101 recorded hours; approximately 68 validated hours
Audio, Text Transcriptions
Northern Kurdish (Kurmanji) speech data from Mozilla Common Voice 18.0 used for end-to-end Transformer-based ASR research. The referenced study reports approximately 101 hours of recorded speech and …
Citation
Abdullah, A. A., Tabibian, S., Veisi, H., Mahmudi, A., & Rashid, T. A. (2024). End-to-End Transformer-based Automatic Speech Recognition for Northern Kurdish: A Pioneering Approach. arXiv:2410.16330.