Author

Michael Neri

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Preprint Sep 2026

Few-Shot Calibration for Sim-to-Real Single-Channel Speaker Distance Estimation

This work asks how few labelled real utterances are needed to make a frozen, synthetic-trained estimator useful, and suggests selecting synthetic checkpoints by linear correlation with true distances rather than by absolute error.

Michael Neri, A. Politis, Tuomas Virtanen · 0 citations

Preprint Sep 2026

Domain-Incremental Learning for Multi-Channel Replay Speech Detection

This work frames this as Domain-Incremental Learning over acoustic environments and presents the first continual learning benchmark for multi-channel replay speech detection, evaluating a state-of-the-art beamformer-based detector over all 24 environment orderings of the ReMASC corpus with five seeds.

Michael Neri · 0 citations