Building systems to convert Kurdish speech to text using modern neural network architectures
Automatic Speech Recognition (ASR) for Kurdish language focuses on developing advanced systems that can accurately convert spoken Kurdish into written text. This research addresses the unique phonetic characteristics and dialectal variations of Kurdish speech.
The primary goal is to create a robust ASR system that can handle various Kurdish dialects and accents, providing accurate transcription for both formal and conversational speech.
Moaiad is actively developing the core ASR architecture, focusing on acoustic model training and optimization for Kurdish speech patterns.
This research will enable various applications including voice assistants, transcription services, and accessibility tools for the Kurdish-speaking community.