Moaiad

Student Information

• Name: Moaiad
• Level: MSc
• University: Salahaddin University-Erbil
• Subject: Computer Science
• Research Area: Automatic Speech Recognition (ASR) for Kurdish Language
• Status: Active
• Supervisor: Dr. Polla Fattah
• Duration: 2023 - Present

Research Focus

Moaiad’s research focuses on developing modern Automatic Speech Recognition systems for the Kurdish language. The work involves implementing state-of-the-art ASR architectures and optimizing them for Kurdish speech recognition.

Key Research Areas

Modern ASR Implementation

• Working with cutting-edge ASR architectures
• Implementing transformer-based ASR models for Kurdish
• Developing real-time Kurdish speech recognition systems

Kurdish Language Modeling

• Developing language models specific to Kurdish
• Creating acoustic models for Kurdish speech patterns
• Optimizing ASR performance for Kurdish language

System Optimization

• Optimizing ASR performance for Kurdish language
• Evaluating performance of modern ASR architectures
• Implementing neural network optimization techniques

Current Research Activities

• Implementing transformer-based ASR models for Kurdish
• Developing Kurdish-specific acoustic and language models
• Evaluating performance of modern ASR architectures
• Working on real-time Kurdish speech recognition
• Conducting research on speech signal processing

Technologies and Methodologies

• Deep learning frameworks
• Modern ASR architectures (Transformer-based models)
• Kurdish acoustic modeling
• Speech signal processing
• Neural network optimization
• Real-time processing systems

Expected Impact

Moaiad’s work aims to advance Kurdish speech recognition technology, making it easier for Kurdish speakers to interact with digital systems and improving accessibility of Kurdish language technology.

Publications and Presentations

• Working on research papers related to Kurdish ASR
• Developing modern ASR frameworks for Kurdish language
• Contributing to Kurdish language technology advancement

Academic Progress

• Currently in active research phase
• Developing comprehensive ASR systems for Kurdish
• Working on thesis development and research documentation
• Implementing cutting-edge speech recognition technologies