Author

Tomás Arias-Vergara

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Preprint Oct 2026

Neural Representations, Natural Connections: What Transfers From Human Speech Foundation Models to Animal Vocalizations?

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

#natural language process... Preprint Oct 2026

Do Speech Representations Preserve Regional Accent Across Read and Spontaneous Speech?

Regional accent cues can be captured under matched conditions, but it remains unclear whether they persist between read and spontaneous speech. We study RVG1, with 500 German speakers from nine regions, comparing ten speech representations on regional classification and continuous geolocation under matched conditions a...

P. A. Pérez-Toro, Tomás Arias-Vergara, Annette Schwarz et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow

Recent neural power-flow solvers, including emerging foundation models, achieve accurate voltage predictions, yet such accuracy does not necessarily imply physically consistent solutions. Even small complex voltage errors can yield large AC power-balance residuals. We study this accuracy-consistency gap across PIGNN-GC...

Changhun Kim, Tim Conrad, Redwanul Karim et al. · 0 citations

#machine learning Conference Open access Apr 2025

A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids

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

#artificial intelligence Preprint Aug 2026

Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis

This paper investigates how multilingual medical adaptation reshapes the internal representations of Whisper models through layer-wise encoder analysis, and shows that English medical fine-tuning produces the dominant encoder shift, whereas multilingual continuation largely preserves the adapted representation space.

Souranil Kahali, Rituparna Bose, Abner Hernandez et al. · 0 citations