Undergraduate Thesis: Transformer-Based Speech Anonymization

Present

Designing and implementing deep learning models for speech anonymization using transformer architectures in PyTorch. The system targets speaker identity concealment while preserving linguistic content and naturalness, with applications in privacy-preserving speech processing.

Tech: Python, PyTorch, Transformers, Deep Learning, Speech Processing, Neural Networks