Dataset Open Access

Code-Switching Speech Corpus

Khosravani, Abbas; Garner, Philip N.


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{
  "DOI": "10.34777/bkr1-ay03", 
  "language": "deu", 
  "author": [
    {
      "family": "Khosravani, Abbas"
    }, 
    {
      "family": "Garner, Philip N."
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2021, 
        1, 
        12
      ]
    ]
  }, 
  "abstract": "<p><strong>German-English Code-Switching speech dataset</strong></p>\n\n<p>We provide means to resegment a subset of the German **Spoken Wikipedia Corpus** (SWC) enabling a particular focus on code-switching.&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.&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.&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.</p>\n\n<p>In SWC, since most of the articles are long, the recordings submitted by the volunteers are also long (&sim;54min) on average.&nbsp; These audio files are manually annotated at word-level and also segment level in XML format.&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).</p>\n\n<p>&nbsp;</p>\n\n<p><strong>Citation</strong></p>\n\n<p>@article{baumann2019spoken,<br>\n&nbsp; title={The Spoken Wikipedia Corpus collection: Harvesting, alignment and an application to hyperlistening},<br>\n&nbsp; author={Baumann, Timo and K{\\&quot;o}hn, Arne and Hennig, Felix},<br>\n&nbsp; journal={Language Resources and Evaluation},<br>\n&nbsp; volume={53},<br>\n&nbsp; number={2},<br>\n&nbsp; pages={303--329},<br>\n&nbsp; year={2019},<br>\n&nbsp; publisher={Springer}<br>\n}</p>\n\n<p>@article{grave2018learning,<br>\n&nbsp; title={Learning word vectors for 157 languages},<br>\n&nbsp; author={Grave, Edouard and Bojanowski, Piotr and Gupta, Prakhar and Joulin, Armand and Mikolov, Tomas},<br>\n&nbsp; journal={arXiv preprint arXiv:1802.06893},<br>\n&nbsp; year={2018}<br>\n}</p>\n\n<p>&nbsp;</p>", 
  "title": "Code-Switching Speech Corpus", 
  "type": "dataset", 
  "id": "4434251"
}
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