Computational Topology and Signal Representation
Research internship on persistent homology and topology-based speech embeddings.
Research internship at SUSTech, supervised by Prof. Yifei Zhu (Mar 2024 – Sep 2024).
- Studied topological data analysis with a focus on persistent homology and its computational pipeline.
- Reviewed auditory Gestalt principles and explored mathematical formulations of perceptual grouping for signal representation.
- Designed preliminary experiments converting speech signals into topology-based embeddings.
Presented related work at SPIRES 2024 in Oxford (Aug 2024): topology-enhanced machine learning for classifying voiced and voiceless consonants in speech signals.