Dataset Open Access

Code-Switching Speech Corpus

Khosravani, Abbas; Garner, Philip N.


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        <foaf:name>Garner, Philip N.</foaf:name>
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    <dcat:keyword>Automatic Speech recognition</dcat:keyword>
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    <dct:description>&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;</dct:description>
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