Dataset Open Access

Code-Switching Speech Corpus

Khosravani, Abbas; Garner, Philip N.


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://zenodo.org/record/4434251</identifier>
  <creators>
    <creator>
      <creatorName>Khosravani, Abbas</creatorName>
      <givenName>Abbas</givenName>
      <familyName>Khosravani</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7108-2475</nameIdentifier>
      <affiliation>Idiap Research Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Garner, Philip N.</creatorName>
      <givenName>Philip N.</givenName>
      <familyName>Garner</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0814-1348</nameIdentifier>
      <affiliation>Idiap Research Institute</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Code-Switching Speech Corpus</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>Automatic Speech recognition</subject>
    <subject>German</subject>
    <subject>Spoken Wikipedia Corpu</subject>
    <subject>Read speech corpus</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-01-12</date>
  </dates>
  <language>de</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4434251</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.34777/bkr1-ay03</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/idiap</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-sa/3.0/legalcode">Creative Commons Attribution Share Alike 3.0 Unported</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;German-English Code-Switching speech dataset&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;We provide means to resegment a subset of the German **Spoken Wikipedia Corpus** (SWC) enabling a particular focus on code-switching.&amp;nbsp; This results in the German-English code-switching corpus, a 34h transcribed speech corpus of read Wikipedia articles which can be used as a benchmark for research on code-switching.&amp;nbsp; The articles are read by a large and diverse group of people. The SWC is perhaps the largest corpus of freely-available aligned speech for German.&amp;nbsp; It contains 1014 spoken articles read by more than 350 identified speakers comprising 386h of speech. This corpus is available at http://nats.gitlab.io/swc.&lt;/p&gt;

&lt;p&gt;In SWC, since most of the articles are long, the recordings submitted by the volunteers are also long (&amp;sim;54min) on average.&amp;nbsp; These audio files are manually annotated at word-level and also segment level in XML format.&amp;nbsp; We use a language identification tool to detect code-switching in the transcription of the audio files with consecutive indices. To extract intra-sentential code-switching segments, we ensure that the detected code-switching is preceded and followed by German words or sentences. The final set consists of 34h of speech data and 12,437 code-switching segments (in Kaldi ASR toolkit data format).&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Citation&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;@article{baumann2019spoken,&lt;br&gt;
&amp;nbsp; title={The Spoken Wikipedia Corpus collection: Harvesting, alignment and an application to hyperlistening},&lt;br&gt;
&amp;nbsp; author={Baumann, Timo and K{\&amp;quot;o}hn, Arne and Hennig, Felix},&lt;br&gt;
&amp;nbsp; journal={Language Resources and Evaluation},&lt;br&gt;
&amp;nbsp; volume={53},&lt;br&gt;
&amp;nbsp; number={2},&lt;br&gt;
&amp;nbsp; pages={303--329},&lt;br&gt;
&amp;nbsp; year={2019},&lt;br&gt;
&amp;nbsp; publisher={Springer}&lt;br&gt;
}&lt;/p&gt;

&lt;p&gt;@article{grave2018learning,&lt;br&gt;
&amp;nbsp; title={Learning word vectors for 157 languages},&lt;br&gt;
&amp;nbsp; author={Grave, Edouard and Bojanowski, Piotr and Gupta, Prakhar and Joulin, Armand and Mikolov, Tomas},&lt;br&gt;
&amp;nbsp; journal={arXiv preprint arXiv:1802.06893},&lt;br&gt;
&amp;nbsp; year={2018}&lt;br&gt;
}&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
</resource>
270
112
views
downloads
Views 270
Downloads 112
Data volume 117.0 MB
Unique views 247
Unique downloads 88

Share

Cite as