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|Publication type:||Conference paper|
|Type of review:||Peer review (publication)|
|Title:||SDS-200 : a Swiss German speech to Standard German text corpus|
Ulasik, Malgorzata Anna
Deriu, Jan Milan
|Proceedings:||Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)|
|Conference details:||13th Language Resources and Evaluation Conference (LREC), Marseille, France, 20-25 June 2022|
|Publisher / Ed. Institution:||European Language Resources Association|
|Subjects:||Swiss German; Speech to text|
|Subject (DDC):||430: German|
|Abstract:||We present SDS-200, a corpus of Swiss German dialectal speech with Standard German text translations, annotated with dialect, age, and gender information of the speakers. The dataset allows for training speech translation, dialect recognition, and speech synthesis systems, among others. The data was collected using a web recording tool that is open to the public. Each participant was given a text in Standard German and asked to translate it to their Swiss German dialect before recording it. To increase the corpus quality, recordings were validated by other participants. The data consists of 200 hours of speech by around 4000 different speakers and covers a large part of the Swiss German dialect landscape. We release SDS-200 alongside a baseline speech translation model, which achieves a word error rate (WER) of 30.3 and a BLEU score of 53.1 on the SDS-200 test set. Furthermore, we use SDS-200 to fine-tune a pre-trained XLS-R model, achieving 21.6 WER and 64.0 BLEU.|
|Related research data:||https://github.com/stt4sg/dialektsammlung-public|
|Fulltext version:||Published version|
|License (according to publishing contract):||CC BY-NC 4.0: Attribution - Non commercial 4.0 International|
|Departement:||Applied Linguistics |
School of Engineering
|Organisational Unit:||Centre for Artificial Intelligence (CAI) |
Institute of Language Competence (ILC)
|Published as part of the ZHAW project:||End-to-End Low-Resource Speech Translation for Swiss German Dialects|
|Appears in collections:||Publikationen School of Engineering|
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|2022_Pluess-etal_SDS-200-text-corpus_LREC.pdf||302.26 kB||Adobe PDF|
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Plüss, M., Hürlimann, M., Cuny, M., Stöckli, A., Kapotis, N., Hartmann, J., Ulasik, M. A., Scheller, C., Schraner, Y., Jain, A., Deriu, J. M., Cieliebak, M., & Vogel, M. (2022). SDS-200 : a Swiss German speech to Standard German text corpus [Conference paper]. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), 3250–3256. https://doi.org/10.21256/zhaw-26131
Plüss, M. et al. (2022) ‘SDS-200 : a Swiss German speech to Standard German text corpus’, in Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association, pp. 3250–3256. Available at: https://doi.org/10.21256/zhaw-26131.
M. Plüss et al., “SDS-200 : a Swiss German speech to Standard German text corpus,” in Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), Jun. 2022, pp. 3250–3256. doi: 10.21256/zhaw-26131.
Plüss, Michel, et al. “SDS-200 : A Swiss German Speech to Standard German Text Corpus.” Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), European Language Resources Association, 2022, pp. 3250–56, https://doi.org/10.21256/zhaw-26131.
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