AI RESEARCH
MSR-HuBERT: Self-supervised Pre-training for Adaptation to Multiple Sampling Rates
arXiv CS.AI
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ArXi:2603.23048v1 Announce Type: cross Self-supervised learning (SSL) has advanced speech processing. However, existing speech SSL methods typically assume a single sampling rate and struggle with mixed-rate data due to temporal resolution mismatch. To address this limitation, we propose MSRHuBERT, a multi-sampling-rate adaptive pre-