Manifold-Constrained Residual Adaptation with Frame-Adaptive Layer Aggregation for Speaker Verification

Large self-supervised speech models provide powerful representations for speaker verification, but full fine-tuning is expensive. Most conventional adapters insert small trainable modules to modify the output of each layer, while keeping the original residual connections unchanged. Building on our p