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The CMU-AIST submission for the ICME 2025 Audio Encoder Challenge
Shikhar Bharadwaj, Samuele Cornell, Kwanghee Choi +4
This technical report describes our submission to the ICME 2025 audio encoder challenge. Our submitted system is built on BEATs, a masked speech token prediction based audio encode…
OpenBEATs: A Fully Open-Source General-Purpose Audio Encoder
Shikhar Bharadwaj, Samuele Cornell, Kwanghee Choi +4
Masked token prediction has emerged as a powerful pre-training objective across language, vision, and speech, offering the potential to unify these diverse modalities through a sin…
MASR: Multi-label Aware Speech Representation
Anjali Raj, Shikhar Bharadwaj, Sriram Ganapathy +2
In the recent years, speech representation learning is constructed primarily as a self-supervised learning (SSL) task, using the raw audio signal alone, while ignoring the side-inf…