ARCH: Audio Representations benCHmark
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Updated
Aug 12, 2026 - Python
ARCH: Audio Representations benCHmark
Repository for the ICASSP 2024 paper "An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging".
Official SSONDO implementation and trained model's weights (ICASSP 2026)
Self-supervised anomaly detection for Ocean Networks Canada underwater acoustic data using SSAMBA and Mamba-based audio representation learning.
Self-Supervised Learning for General Audio Representation of Raw Waveform
Official project page and extended results for "What Makes a Good Layer? Assessing the Layer-Wise Intrinsic Properties of Music Foundation Models" (ISMIR 2026)
Causal, action-conditioned audio JEPA. A latent world model that forecasts future audio and steers it with control signals, plus the evaluation work needed to show it works.
Codes for Audio Representation Learning (EE798P) offered at IIT Kanpur and picked up by me in my seventh semester
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