Central Kurdish 100-Hour ASR Corpus
Year: 2024
Size: Approximately 100 hours
License:
Domain: Automatic Speech Recognition
Languages:
Central Kurdish (Sorani)
Formats:
Audio
Text Transcriptions
Resource Description
A Central Kurdish (Sorani) speech corpus constructed for end-to-end automatic speech recognition research. The Breaking Walls study reports approximately 100 hours of speech and uses the corpus to fine-tune wav2vec 2.0 XLS-R models.
Data Structure
Central Kurdish speech recordings with corresponding text transcriptions for automatic speech recognition.
Primary Publication
Breaking Walls: Pioneering Automatic Speech Recognition for Central Kurdish: End-to-End Transformer Paradigm
Abdulhady Abas Abdullah , Hadi Veisi , Tarik A. Rashid (2024)
Develops end-to-end Transformer-based automatic speech recognition for Central Kurdish using a newly constructed 100-hour speech corpus. The study fine-tunes wav2vec 2.0 XLS-R models and combines them …
Related Publications
Dataset Information
Total Size
Approximately 100 hours
Languages
1 language
Formats
2 formats
Related Papers
1 publication
Data Access
Licensed under