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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

Robustness assessment of large audio language models in multiple-choice evaluation

Fernando López, Santosh Kesiraju, Jordi Luque

Recent advances in large audio language models (LALMs) have primarily been assessed using a multiple-choice question answering (MCQA) framework. However, subtle changes, such as sh…

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…

cs.CL2024

Word Sense Disambiguation in Native Spanish: A Comprehensive Lexical Evaluation Resource

Pablo Ortega, Jordi Luque, Luis Lamiable +2

Human language, while aimed at conveying meaning, inherently carries ambiguity. It poses challenges for speech and language processing, but also serves crucial communicative functi…