9 papers
Your Home Remembers: A Voice-Enabled Household Memory Assistant for Conversational Retrieval
Aleix Sant, Jordi Luque, Fernando López +2
Everyday household information is often exchanged in conversations but never written down, making details easy to forget or misremember. We present a voice-enabled smart-home assis…
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…
Distributed Learning as a Service: The Developer's Perspective
Tianyue Chu, Filippo Vannella, Dimitra Tsigkari +5
Application developers of distributed learning services face challenges that a typical federated learning loop does not address. Specifically, the model updates can still leak priv…
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…
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 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…
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…
Speech Enhancement for Wake-Up-Word detection in Voice Assistants
David Bonet, Guillermo Cámbara, Fernando López +3
Keyword spotting and in particular Wake-Up-Word (WUW) detection is a very important task for voice assistants. A very common issue of voice assistants is that they get easily activ…