7 papers
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…
S-DiverSe: Spanish Diverse Speech
Fernando López, Fernando Ibañez, Ana MartÃnez +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…
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…
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…
"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…
The Eloquence team submission for task 1 of MLC-SLM challenge
Lorenzo Concina, Jordi Luque, Alessio Brutti +2
In this paper, we present our studies and experiments carried out for the task 1 of the Challenge and Workshop on Multilingual Conversational Speech Language Model (MLC-SLM), which…