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cs.CL2026

Benchmarking Automatic Speech Recognition Tools for Iberian Languages

Fernando López, Pablo Gómez, David Solans +2

Comprehensive evaluations of automatic speech recognition (ASR) for Iberian languages remain limited, and low-resource languages, biases, and efficiency trade-offs are underexplore…

cs.CL2026

Federated Multilingual Speech-LLMs: Architecture and Aggregation Strategy Benchmarking

Jordi Luque, Aleix Sant, Fernando López

We present a comprehensive benchmark of Federated Learning (FL) for multilingual Automatic Speech Recognition (ASR), evaluating four Speech-LLM architectures on the Multilingual Li…

cs.CL2026

ESCUCHA: A Spanish Speech Benchmark for Heterogeneous Acoustic Conditions

Fernando López, Ana Ayala, Guillermo Segovia +4

As large audio language models (LALMs) advance, robust evaluation frameworks have become essential. In this context, Spanish speech understanding under realistic acoustic condition…

cs.CL2026

S-DiverSe: Spanish Diverse Speech

Fernando López, Fernando Ibañez, Ana Martínez +4

Automatic speech recognition (ASR) has advanced remarkably for standard speech, yet speech affected by neurological conditions remains a challenge. We present S-DiverSe (Spanish Di…

cs.CL2026

FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition

Fernando López, Santosh Kesiraju, Jordi Luque

Automatic speech recognition (ASR) has advanced remarkably for standard speech; however, pathological speech from neurological conditions remains a significant challenge. We invest…

cs.CL2026

"OK Aura, Be Fair With Me": Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection

Fernando López, Paula Delgado-Santos, Pablo Gómez +2

Voice-based interfaces are widely used; however, achieving fair Wake-up Word detection across diverse speaker populations remains a critical challenge due to persistent demographic…