---
title: "Open-source Multi-speaker Corpora of the English Accents in the"
description: "The release holds more than 31 hours from 120 speakers on OpenSLR. 54 references, cited by 11 papers here."
authors: ["Isin Demirsahin", "Oddur Kjartansson", "Alexander Gutkin", "Clara Rivera"]
year: 2020
venue: "Proceedings of the Twelfth Language Resources and Evaluation Conference"
source: "https://aclanthology.org/2020.lrec-1.804/"
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/demirsahin-2020-open-source-multi-speaker-corpora/"
---
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# Open-source Multi-speaker Corpora of the English Accents in the British Isles

**Authors:** [Isin Demirsahin](https://md.research.elamur.ai/free/en/authors/isin-demirsahin/), Oddur Kjartansson, [Alexander Gutkin](https://md.research.elamur.ai/free/en/authors/alexander-gutkin/) and [Clara Rivera](https://md.research.elamur.ai/free/en/authors/clara-rivera/) · **Year:** 2020 · **Venue:** [Proceedings of the Twelfth Language Resources and Evaluation Conference](https://md.research.elamur.ai/free/en/venues/lrec/) ([LREC 2020](https://md.research.elamur.ai/free/en/venues/lrec/2020/)) · **Publisher:** [European Language Resources Association (ELRA)](https://md.research.elamur.ai/free/en/publishers/european-language-resources-association-elra/) · **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-1.804/) · [PDF](https://aclanthology.org/2020.lrec-1.804.pdf) · [OpenAlex](https://openalex.org/W3032558098)

**Citations:** 26 citations (OpenAlex, 2026-10-14) · [11](https://md.research.elamur.ai/free/en/papers/demirsahin-2020-open-source-multi-speaker-corpora/cited-by/) in our library, of the 141,840 papers whose bibliographies we read

## Summary
English speech data is plentiful, but few collections of British Isles accents combine studio-grade audio, many speakers per accent, a phonologically motivated script, and an open release. The authors, from Google Research, built such a resource. Volunteers read prompts designed to bring out accent differences, and each self-identifies as a native speaker of one of six varieties: Irish, Scottish or Welsh English, or the English of the North of England, the Midlands or the South of England. The scripts have three layers. Lines shared by every speaker capture individual accent. "Global English" lines target contrasts relevant to any variety. Localized lines cover the British Isles as a whole and each specific region. Prompts also include world place names, major airlines, common personal names and local words. Some shared lines match or resemble material in CSTR VCTK and the Speech Accent Archive, so the data can be compared across corpora. The release holds more than 31 hours from 120 speakers on OpenSLR. It serves both linguists studying accents and builders of speech systems, such as multi-speaker, multi-dialect TTS trained alongside VCTK.

## Key points
- The corpus has more than 31 hours of transcribed, high-quality recordings from 120 volunteers across six British Isles accent groups. The three-way split of England follows Kortmann et al. (2008).
- It is distributed through OpenSLR (resource 83) with an ISLRN. A companion crowdsourced Nigerian English set uses the same Global English lines (OpenSLR 70).
- Script design rests on splits, mergers and Wells' (1982) standard lexical sets such as KIT. The prompts aim at high phoneme coverage and informative phonetic contexts.
- Spelling differences between British and American English (neighbour/neighbor, practise/practice) do not mirror pronunciation differences. In varieties learned mainly from writing, spelling can even pull pronunciation away from the source variety. The paper's example is Nigerian English *advantage*.
- Audio quality is similar to CSTR VCTK, so the two corpora can be pooled for training or adapting multi-speaker, multi-dialect speech systems.

## Interesting ideas
- The prompt set is built in layers: lines all speakers read, lines probing contrasts across varieties, and region-specific lines, which separates personal, global and local variation.
- Some lines deliberately repeat or echo material from existing corpora (VCTK, Speech Accent Archive), making the new data directly comparable with older resources.
- Coverage is planned around a linguistic inventory (lexical sets, splits, mergers) rather than random sentence sampling. Every phenomenon of interest is then guaranteed to appear.
- The paper treats spelling variants as surface noise that hides the real underlying differences between varieties.
- Prompts include named entities such as places, airlines and personal names, alongside local vocabulary, because these items vary most across communities.

## For Mova

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

- **I1** (learn): Evaluation sets could be organized the same way, with a shared core read by every parser or model plus domain- or dialect-specific slices, so regressions can be traced to their source.
- **I2** (learn): Silver-data and test batches could include sentences already present in public UD treebanks, which would anchor Mova's parses against gold trees and act as a calibration control.
- **I3** (tree): Test suites for the parser could be assembled from a checklist of UD constructions, so each relation or tricky attachment type gets explicit coverage.
- **I4** (tokens): The en crate could map British and American spelling variants (neighbour/neighbor, -ise/-ize) to one lemma while keeping the original form, so downstream frames are not split by orthography.
- **I5** (world): Entity resolution against Wikidata should be tested on region-specific names and local words, not just common nouns, to find gaps in the compiled ontology.

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

## Institutions

- [Google](https://md.research.elamur.ai/free/en/companies/google/) — Company, Mountain View, United States · 353 works · 364,806 citations

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## Cite

Cite as: Isin Demirsahin, Oddur Kjartansson, Alexander Gutkin and Clara Rivera. 2020. Open-source Multi-speaker Corpora of the English Accents in the British Isles. 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{demirsahin2020open,
  title = {{Open-source Multi-speaker Corpora of the English Accents in the British Isles}},
  author = {Isin Demirsahin, Oddur Kjartansson, Alexander Gutkin and Clara Rivera},
  booktitle = {Proceedings of the Twelfth Language Resources and Evaluation Conference},
  year = {2020},
  url = {https://aclanthology.org/2020.lrec-1.804/}
}
```

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*Updated 24 October 2026*