Introduces intra-set and inter-set recursive fusion with time-frequency calibrated knowledge distillation (I²SRF-TFCKD) applied to DPDCRN, showing consistent gains on single- and multi-channel speech enhancement datasets over prior distillation methods.
Audio-visual representa- tion learning via knowledge distillation from speech foundation models,
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Leveraging Local and Global Knowledge Integration with Time-Frequency Calibrated Distillation for Speech Enhancement
Introduces intra-set and inter-set recursive fusion with time-frequency calibrated knowledge distillation (I²SRF-TFCKD) applied to DPDCRN, showing consistent gains on single- and multi-channel speech enhancement datasets over prior distillation methods.