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eess.AS2026
Rethinking Depth: A study of the Recursive-Transformer for Speech Recognition
Thomas Rolland, Carlos Carvalho, Alberto Abad
Transformer-based architectures have led to significant improvements in Automatic Speech Recognition (ASR), often at the cost of substantially increased model sizes. A promising ap…
eess.AS2026
Group-Aware Partial Model Merging for Children's Automatic Speech Recognition
Thomas Rolland, Alberto Abad
While supervised fine-tuning of adult pre-trained models for children's ASR has shown promise, it often fails to capture group-specific characteristics and variations among childre…
eess.AS2024
Tackling Cognitive Impairment Detection from Speech: A submission to the PROCESS Challenge
Catarina Botelho, David Gimeno-Gómez, Francisco Teixeira +11
This work describes our group's submission to the PROCESS Challenge 2024, with the goal of assessing cognitive decline through spontaneous speech, using three guided clinical tasks…