Qi-Jian Zheng

PRP: Procedural-to-Real Masked Pre-Training for Transferable and Interpretable Audio Representations

Self-supervised audio models are typically pre-trained on large collections of real-world recordings, and the resulting representations may be shaped by the acoustic coverage, recording conditions, and dataset-specific correlations of the source corpus. We investigate whether procedurally generated audio can provide a...