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Główni autorzy: Carvalho, Carlos, Teixeira, Francisco, Botelho, Catarina, Pompili, Anna, Solera-Ureña, Rubén, Paulo, Sérgio, Julião, Mariana, Rolland, Thomas, Mendonça, John, Pereira, Diogo, Trancoso, Isabel, Abad, Alberto
Format: Preprint
Wydane: 2025
Hasła przedmiotowe:
Dostęp online:https://arxiv.org/abs/2508.19721
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author Carvalho, Carlos
Teixeira, Francisco
Botelho, Catarina
Pompili, Anna
Solera-Ureña, Rubén
Paulo, Sérgio
Julião, Mariana
Rolland, Thomas
Mendonça, John
Pereira, Diogo
Trancoso, Isabel
Abad, Alberto
author_facet Carvalho, Carlos
Teixeira, Francisco
Botelho, Catarina
Pompili, Anna
Solera-Ureña, Rubén
Paulo, Sérgio
Julião, Mariana
Rolland, Thomas
Mendonça, John
Pereira, Diogo
Trancoso, Isabel
Abad, Alberto
contents Existing resources for Automatic Speech Recognition in Portuguese are mostly focused on Brazilian Portuguese, leaving European Portuguese (EP) and other varieties under-explored. To bridge this gap, we introduce CAMÕES, the first open framework for EP and other Portuguese varieties. It consists of (1) a comprehensive evaluation benchmark, including 46h of EP test data spanning multiple domains; and (2) a collection of state-of-the-art models. For the latter, we consider multiple foundation models, evaluating their zero-shot and fine-tuned performances, as well as E-Branchformer models trained from scratch. A curated set of 425h of EP was used for both fine-tuning and training. Our results show comparable performance for EP between fine-tuned foundation models and the E-Branchformer. Furthermore, the best-performing models achieve relative improvements above 35% WER, compared to the strongest zero-shot foundation model, establishing a new state-of-the-art for EP and other varieties.
format Preprint
id arxiv_https___arxiv_org_abs_2508_19721
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle CAMÕES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese
Carvalho, Carlos
Teixeira, Francisco
Botelho, Catarina
Pompili, Anna
Solera-Ureña, Rubén
Paulo, Sérgio
Julião, Mariana
Rolland, Thomas
Mendonça, John
Pereira, Diogo
Trancoso, Isabel
Abad, Alberto
Computation and Language
Audio and Speech Processing
Existing resources for Automatic Speech Recognition in Portuguese are mostly focused on Brazilian Portuguese, leaving European Portuguese (EP) and other varieties under-explored. To bridge this gap, we introduce CAMÕES, the first open framework for EP and other Portuguese varieties. It consists of (1) a comprehensive evaluation benchmark, including 46h of EP test data spanning multiple domains; and (2) a collection of state-of-the-art models. For the latter, we consider multiple foundation models, evaluating their zero-shot and fine-tuned performances, as well as E-Branchformer models trained from scratch. A curated set of 425h of EP was used for both fine-tuning and training. Our results show comparable performance for EP between fine-tuned foundation models and the E-Branchformer. Furthermore, the best-performing models achieve relative improvements above 35% WER, compared to the strongest zero-shot foundation model, establishing a new state-of-the-art for EP and other varieties.
title CAMÕES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese
topic Computation and Language
Audio and Speech Processing
url https://arxiv.org/abs/2508.19721