---
title: "Naim Terbeh · University of Monastir — author profile and papers"
description: "Naim Terbeh, University of Monastir: 2 papers on Elamur Research (2012–2016), h-index 6 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/naim-terbeh/"
---
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# Naim Terbeh

Naim Terbeh has 2 papers in our library, in 2012–2016, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Mounir Zrigui](https://md.research.elamur.ai/free/en/authors/mounir-zrigui/).

2 papers in our library · 2012–2016

[OpenAlex](https://openalex.org/A5057417016) · [ORCID](https://orcid.org/0000-0003-1146-1147) · [**h-index 6**](https://openalex.org/authors/A5057417016) · [19 works](https://openalex.org/works?filter=author.id:A5057417016) · [122 citations](https://openalex.org/works?filter=author.id:A5057417016&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/naim-terbeh/#papers) · [⭐ Paper Stars ranking: #9951](https://md.research.elamur.ai/free/en/paper-stars/page/100/#star-9951)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Naim+Terbeh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Naim+Terbeh) · [dblp](https://dblp.org/search?q=Naim+Terbeh) · [ACL Anthology](https://aclanthology.org/search/?q=Naim+Terbeh)

## Affiliations

[🎓**University of Monastir** Monastir · Tunisia 2013–2022 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-monastir/) · [🎓**University of Sfax** Sfax · Tunisia 2015–2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-sfax/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Physiology · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/physiology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

🧭 Topics 2 Research subjects and languages the work is about.[Semitic languages · 2 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

## Works by year

### 2010s

[**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/naim-terbeh/year/2016/) · [**2012** 1 paper](https://md.research.elamur.ai/free/en/authors/naim-terbeh/year/2012/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Vocal Pathologies Detection and Mispronounced Phonemes Identification: Case of Arabic Continuous Speech](https://md.research.elamur.ai/free/en/papers/terbeh-2016-vocal-pathologies-detection-mispronounced-phonemes/)** *(2016 · 6 citations)* The paper targets Arabic speech assessment. It decides whether a continuous utterance is healthy or pathological, and for pathological speech it finds which phonemes the speaker cannot produce and what replaces them. The intended users are native speakers with language disabilities and learners of Arabic.
2. **[Arabic Language Learning Assisted by Computer, based on Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/terbeh-2012-arabic-language-learning-assisted-computer/)** *(2012 · 4 citations)* The authors build a pronunciation-training tool for learners of Arabic. Most earlier computer-assisted language learning (CALL) systems handled only written language. This one listens to the learner. It is built on an HMM-based speech recognizer made with CMU Sphinx3, and the authors chose HMMs partly because they…

## Co-authors here

1 co-author with a page, the most papers together first.

- [Mounir Zrigui](https://md.research.elamur.ai/free/en/authors/mounir-zrigui/) ×2

## Venues

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

- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2016](https://md.research.elamur.ai/free/en/venues/lrec/2016/)

Updated 30 October 2026
