Speech-pretrained models have shown promise in animal bioacoustics, but the factors governing their cross-species transfer remain poorly understood. We evaluate 15 frozen encoders spanning monolingual and multilingual speech, speaker verification, animal bioacoustics, and general audio on caller identification across f...
Tomás Arias-Vergara, Christopher Hauer, Héloïse Brotier et al.· 0 citations
It is argued nested model-selection protocols should be standard when probing encoder layer representations on small clinical speech datasets, and a fair comparison across representation families identifies a compact, task-aligned affect--prosody model as competitive with substantially more complex SSL, deep-learning,...
P. A. Pérez-Toro, David Gimeno-Gómez, D. Rückert et al.· 0 citations
This study assesses the efficacy of various ML models in detecting electrical faults and pinpointing defective transmission lines within a 10 ms measurement interval—a critical time-frame for real-time operational viability, for the first time.
Julian Oelhaf, Georg Kordowich, P. A. Pérez-Toro et al.· IEEE International Conferenc...· 12 citations
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