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20242026
most citedAC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive Mixup

1 citations · 1 across the 3 of their papers we have counts for

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cs.CL2026

Exploring the potential and limitations of Model Merging for Multi-Domain Adaptation in ASR

Carlos Carvalho, Francisco Teixeira, Thomas Rolland +1

Model merging is a scalable alternative to multi-task training that combines the capabilities of multiple specialised models into a single model. This is particularly attractive fo…

cs.CL2025

CAMÕES: 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…