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Oscar Saz

Oscar Saz has 2 papers in our library, in 2025–2026, most of them on Semitic languages, Speech & spoken language, Low-resource languages; often with Muhammad Umar Farooq.

2 papers in our library · 2025–2026

OpenAlex · h-index 12 · 85 works · 722 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #6148

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

🏢EmotechLondon · United Kingdom2025–2026 · 2 paperscurrent🎓Universidad de ZaragozaZaragoza · Spain2006–2013 · 33 papers🎓University of SheffieldSheffield · United Kingdom2013–2018 · 15 papers🎓Instituto de Investigación en Ingeniería de AragónZaragoza · Spain2007–2013 · 13 papers🎓Carnegie Mellon UniversityPittsburgh · United States2011–2014 · 7 papers

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

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 2 works

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 2 worksEnglish · 1 workLow-resource languages · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20261 paperOscar Saz's papers of 202620251 paperOscar Saz's papers of 2025

 Papers

The most cited first (OpenAlex and our library).

  1. SAGE: Spliced-Audio Generated Data for Enhancing Foundational Models in Low-Resource Arabic-English Code-Switched Speech Recognition (2025 · 2 citations)
    The paper tackles automatic transcription of Arabic dialects (DA) and of speech that mixes Arabic with English (CS).
  2. CTC-DID: CTC-Based Arabic dialect identification for streaming applications (2026 · 1 citation)
    The paper addresses spoken Arabic dialect identification (DID) under limited training data and real-time constraints.

 Co-authors here

1 co-author 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 2 times (of the 141,840 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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