Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds Audio DNNs have demonstrated impressive performance on various machine listening tasks; however, most of their representations are computationally costly and uninterpretable, leaving room for optimiza...

I’m excited to share one of two papers accepted to #Interspeech2025! @interspeech.bsky.social

“Spectrotemporal Modulation: Efficient & Interpretable Feature Representation for Classifying Speech, Music & Environmental Sounds”
📄 Paper: arxiv.org/abs/2505.23509
#NeuroInspiredML #AudioAI