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Daniel D. Lee
Based at the Phonetics Laboratory, Daniel D. Lee is a PhD Candidate in Computation, Cognition and Language. His doctoral research concerns the generation and detection of spoofed speech (also known as audio deepfake or voice cloning), which comprises both synthetic-based and imitation-based spoofing attacks. Undergirded by a 'four quadrant' approach (see figure below), the overarching objective is to investigate the acoustic, perceptual, and neurocognitive properties of spoofed speech.