Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages

Meesum Alam; Francis Tyers

doi:10.63317/4r3mie85u8cq

Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages

Correct Metadata for

Use this form to create a GitHub issue with structured data describing the correction. You will need a GitHub account. Once you create that issue, the correction will be reviewed by a staff member.

⚠️ Mobile Users: Submitting this form to create a new issue will only work with github.com, not the GitHub Mobile app.

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>. You may use ... for bold, ... for italic, ... for underline, <sc>...</sc> for small-caps, <tt>...<tt> for typewriter text, <url>...</url> for URLs, <a href=...> for hyperlinks, and <par/> for paragraph breaks.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the external publication .)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Abstract

Pakistan is home to more than 70 languages out of which 30 languages are endangered. Most of Pakistani languages remain absent from modern speech and text technologies, with resources focused on Urdu and a few major tongues. Through Mozilla’s Open Multilingual Speech Fund, this paper documents one year project for the development of an open, community driven speech corpus for 39 indigenous languages of Pakistan. The dataset includes locally authored texts, daily life sentences, poetry, and folk songs to make a culturally balanced. The project not only supports Automatic Speech Recognition but also promote linguistic preservation and digital inclusion.

Anthology ID:: 2026.lrec-1.265
Volume:: Proceedings of the Fifteenth Language Resources and Evaluation Conference
Month:: May
Year:: 2026
Address:: Palma de Mallorca, Spain
Editors:: Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral
Venue:: LREC
SIG:
Publisher:: ELRA Language Resource Association
Note:
Pages:: 3355–3359
Language:
External URL:: https://lrec.elra.info/lrec2026-main-265
DOI:: 10.63317/4r3mie85u8cq
Bibkey:
Cite (ACL):: Meesum Alam and Francis Tyers. 2026. Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 3355–3359, Palma de Mallorca, Spain. ELRA Language Resource Association.
Cite (Informal):: Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages (Alam & Tyers, LREC 2026)
Copy Citation:

External Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{alam-tyers-2026-common,
    title = "Common Voice for {P}akistan: Developing an Open Speech Corpus for Low-Resource {P}akistani Languages",
    author = "Alam, Meesum  and
      Tyers, Francis",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://aclanthology.org/2026.lrec-1.265/",
    doi = "10.63317/4r3mie85u8cq",
    pages = "3355--3359",
    abstract = "Pakistan is home to more than 70 languages out of which 30 languages are endangered. Most of Pakistani languages remain absent from modern speech and text technologies, with resources focused on Urdu and a few major tongues. Through Mozilla{'}s Open Multilingual Speech Fund, this paper documents one year project for the development of an open, community driven speech corpus for 39 indigenous languages of Pakistan. The dataset includes locally authored texts, daily life sentences, poetry, and folk songs to make a culturally balanced. The project not only supports Automatic Speech Recognition but also promote linguistic preservation and digital inclusion."
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="alam-tyers-2026-common">
    <titleInfo>
        <title>Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Meesum</namePart>
        <namePart type="family">Alam</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Francis</namePart>
        <namePart type="family">Tyers</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Fifteenth Language Resources and Evaluation Conference</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Stelios</namePart>
            <namePart type="family">Piperidis</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Núria</namePart>
            <namePart type="family">Bel</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Henk</namePart>
            <namePart type="family">van den Heuvel</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Nancy</namePart>
            <namePart type="family">Ide</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Simon</namePart>
            <namePart type="family">Krek</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Antonio</namePart>
            <namePart type="family">Toral</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ELRA Language Resource Association</publisher>
            <place>
                <placeTerm type="text">Palma de Mallorca, Spain</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Pakistan is home to more than 70 languages out of which 30 languages are endangered. Most of Pakistani languages remain absent from modern speech and text technologies, with resources focused on Urdu and a few major tongues. Through Mozilla’s Open Multilingual Speech Fund, this paper documents one year project for the development of an open, community driven speech corpus for 39 indigenous languages of Pakistan. The dataset includes locally authored texts, daily life sentences, poetry, and folk songs to make a culturally balanced. The project not only supports Automatic Speech Recognition but also promote linguistic preservation and digital inclusion.</abstract>
    <identifier type="citekey">alam-tyers-2026-common</identifier>
    <identifier type="doi">10.63317/4r3mie85u8cq</identifier>
    <location>
        <url>https://aclanthology.org/2026.lrec-1.265/</url>
    </location>
    <part>
        <date>2026-05</date>
        <extent unit="page">
            <start>3355</start>
            <end>3359</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages
%A Alam, Meesum
%A Tyers, Francis
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F alam-tyers-2026-common
%X Pakistan is home to more than 70 languages out of which 30 languages are endangered. Most of Pakistani languages remain absent from modern speech and text technologies, with resources focused on Urdu and a few major tongues. Through Mozilla’s Open Multilingual Speech Fund, this paper documents one year project for the development of an open, community driven speech corpus for 39 indigenous languages of Pakistan. The dataset includes locally authored texts, daily life sentences, poetry, and folk songs to make a culturally balanced. The project not only supports Automatic Speech Recognition but also promote linguistic preservation and digital inclusion.
%R 10.63317/4r3mie85u8cq
%U https://aclanthology.org/2026.lrec-1.265/
%U https://doi.org/10.63317/4r3mie85u8cq
%P 3355-3359

Download as File

Markdown (Informal)

[Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages](https://aclanthology.org/2026.lrec-1.265/) (Alam & Tyers, LREC 2026)

Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages (Alam & Tyers, LREC 2026)

ACL

Meesum Alam and Francis Tyers. 2026. Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 3355–3359, Palma de Mallorca, Spain. ELRA Language Resource Association.