6 papers
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…
FalAR: A Large-scale Speaker-Annotated European Portuguese Speech Corpus of Parliamentary Sessions
Francisco Teixeira, Carlos Carvalho, Mariana Julião +7
State-of-the-art performance for Automatic Speech Recognition (ASR) largely depends on the availability of large-scale labeled corpora. This creates a demand for increased data col…
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…
CAMÃES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese
Carlos Carvalho, Francisco Teixeira, Catarina Botelho +9
Existing resources for Automatic Speech Recognition in Portuguese are mostly focused on Brazilian Portuguese, leaving European Portuguese (EP) and other varieties under-explored. T…
Children's Voice Privacy: First Steps And Emerging Challenges
Ajinkya Kulkarni, Francisco Teixeira, Enno Hermann +3
Children are one of the most under-represented groups in speech technologies, as well as one of the most vulnerable in terms of privacy. Despite this, anonymization techniques targ…
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…