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Guillermo Cambara

Guillermo Cambara has 2 papers in our library, in 2021–2026, most of them on Speech & spoken language, Low-resource languages, English; often with Fabrício Carraro, John E. Ortega, Jordi Luque.

2 papers in our library · 2021–2026

OpenAlex · ORCID · h-index 5 · 23 works · 73 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #6262

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Universitat Pompeu FabraBarcelona · Spain2020–2026 · 10 paperscurrent🏢AmazonSeattle · United States2024–2026 · 2 paperscurrent🏢Telefonica Research and DevelopmentMadrid · Spain2020–2022 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 workSignal Processing · 1 work

🧭 Topics 3Research subjects and languages the work is about.Speech & spoken language · 2 worksLow-resource languages · 1 workEnglish · 1 work

 Works by year

2020s

20261 paperCATENG Submission for the IWSLT 2026: Dialectal and Low-resource Speech Translation Task20211 paperEnglish Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System

 Papers

The most cited first (OpenAlex and our library).

  1. CATENG Submission for the IWSLT 2026: Dialectal and Low-resource Speech Translation Task (2026 · 1 citation)
    This paper describes the CATENG team's entries to the IWSLT 2026 shared task on dialectal and low-resource speech translation, which covers translating spoken Catalan into English text.
  2. English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System (2021)
    The paper asks whether a modern, heavily trained speech recognizer still performs unevenly across English accents.

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 1 time (of the 141,840 papers whose bibliographies we read).

Updated

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