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
“Spectrotemporal Modulation: Efficient & Interpretable Feature Representation for Classifying Speech, Music & Environmental Sounds”
📄 Paper: arxiv.org/abs/2505.23509
#NeuroInspiredML #AudioAI
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...
arxiv.org
June 2, 2025 at 7:00 PM
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
“Spectrotemporal Modulation: Efficient & Interpretable Feature Representation for Classifying Speech, Music & Environmental Sounds”
📄 Paper: arxiv.org/abs/2505.23509
#NeuroInspiredML #AudioAI