---
title: "Arabic Speech Rhythm Corpus: Read and Spontaneous Speaking Styles — Ibrahim 2020"
description: "The authors address the absence of a forensically usable Arabic speech database for studying rhythm and for forensic… 28 references, cited by 1 paper here."
authors: ["Omnia Ibrahim", "Homa Asadi", "Eman Kassem", "Volker Dellwo"]
year: 2020
venue: "Proceedings of the Twelfth Language Resources and Evaluation Conference"
source: "https://aclanthology.org/2020.lrec-1.657/"
licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)"
licence_url: "https://creativecommons.org/licenses/by-nc/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/ibrahim-2020-arabic-speech-rhythm-corpus-read/"
---
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# Arabic Speech Rhythm Corpus: Read and Spontaneous Speaking Styles

**Authors:** [Omnia Ibrahim](https://md.research.elamur.ai/free/en/authors/omnia-ibrahim/), Homa Asadi, Eman Kassem and Volker Dellwo · **Year:** 2020 · **Venue:** Proceedings of the Twelfth Language Resources and Evaluation Conference · **Licence:** [CC BY-NC 4.0 (ELRA, LREC proceedings)](https://creativecommons.org/licenses/by-nc/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2020.lrec-1.657/) · [PDF](https://aclanthology.org/2020.lrec-1.657.pdf) · [OpenAlex](https://openalex.org/W3032284093)

**Citations:** 3 citations (OpenAlex, 2026-10-14) · 1 in our library, of the 140,884 papers whose bibliographies we read

## Summary
The authors address the absence of a forensically usable Arabic speech database for studying rhythm and for forensic voice comparison (FVC), where between- and within-speaker variability must be known. They recorded 10 Egyptian speakers, balanced for gender, in two styles. The read part reuses the BonnTempo corpus (BTC) design. A phonetically rich, fully diacritized short story was written originally in Arabic rather than translated. In the spontaneous part, speakers talked about their daily life or studies and then used a map to explain how to get to the university from a well-known nearby place. The recordings carry both manual and automatic time labels, which supports quantitative rhythm analysis of Modern Standard Arabic (MSA) and the Egyptian dialect. The collection follows the Morrison, Rose and Zhang (2012) FVC protocol. The resource is presented as work in progress and as an Arabic extension of BTC. It allows direct rhythm comparison with English, German, French and Italian, and could support speaker-recognition and speaking-style research.

## Key points
- 10 gender-balanced Egyptian Arabic speakers, recorded in read and spontaneous styles.
- The read passage has roughly 8 sentences and 178 phonological syllables, about 4 minutes per speaker. A professional linguist added full diacritics.
- Spontaneous speech has two parts: free talk lasting over a minute, then a map-based route description.
- Collection follows the FVC protocol's three criteria: sessions recorded at different times, varied speaking styles, and usability under channel mismatch.
- The corpus extends BonnTempo (5 speaking rates; English, German, French, Italian) and has manual plus automatic time labeling covering MSA and Egyptian Arabic.

## Interesting ideas
- The authors avoid translated standard texts such as "The North Wind and the Sun" because translations may read unnaturally and lose phonetic balance, so they wrote native material instead.
- Copying an existing corpus's collection protocol exactly makes the new data directly comparable with the older languages.
- The same speakers produce both a controlled read task and free spontaneous speech, which separates style effects from speaker effects.
- Full diacritization removes pronunciation ambiguity before recording, which fixes the intended reading in the stimulus itself.
- A map serves as a shared visual stimulus, so spontaneous route descriptions stay grounded and comparable across speakers.

## For Mova

How these ideas could serve Mova, our small open language model — its files, stages and tests:

- **I1** (answer): Build school-test and fable QA items from texts originally written in English rather than translated ones, so unnatural phrasing does not distort what the reader is measured on.
- **I2** (learn): When adding new evaluation sets, mirror the format and procedure of an established benchmark, so score differences reflect the system rather than the setup.
- **I3** (learn): Pair edited and conversational texts on the same content to check whether parser or frame accuracy drops because of register rather than topic.
- **I4** (tokens): Keep a small gold set where lemma and POS ambiguities are explicitly resolved in the input, to isolate tagger errors from genuine ambiguity.
- **I5** (world): Use direction-giving texts with a known underlying map as test material for tracking spatial entities and event order, since the correct world state can be checked.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

Fields: [Linguistics & languages](https://md.research.elamur.ai/free/en/shelves/linguistics/)

Topics: [🐪 Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/)

## Institutions

- [University of Zurich](https://md.research.elamur.ai/free/en/universities/university-of-zurich/) — University, Zurich, Switzerland · 44 works · 10,252 citations

Also on the byline: [Alzahra University](https://ror.org/013cdqc34).

## Cite

Cite as: Omnia Ibrahim, Homa Asadi, Eman Kassem and Volker Dellwo. 2020. Arabic Speech Rhythm Corpus: Read and Spontaneous Speaking Styles. Proceedings of the Twelfth Language Resources and Evaluation Conference.

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{ibrahim2020arabic,
  title = {{Arabic Speech Rhythm Corpus: Read and Spontaneous Speaking Styles}},
  author = {Omnia Ibrahim, Homa Asadi, Eman Kassem and Volker Dellwo},
  booktitle = {Proceedings of the Twelfth Language Resources and Evaluation Conference},
  year = {2020},
  url = {https://aclanthology.org/2020.lrec-1.657/}
}
```

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