Dialect Transfer for Swiss German Speech Translation
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Abstract (arXiv)
This paper investigates the challenges in building Swiss German speech translation systems, specifically focusing on the impact of dialect diversity and differences between Swiss German and Standard German. Swiss German is a spoken language with no formal writing system, it comprises many diverse dialects and is a low-resource language with only around 5 million speakers. The study is guided by two key research questions: how does the inclusion and exclusion of dialects during the training of speech translation models for Swiss German impact the performance on specific dialects, and how do the differences between Swiss German and Standard German impact the performance of the systems? We show that dialect diversity and linguistic differences pose significant challenges to Swiss German speech translation, which is in line with linguistic hypotheses derived from empirical investigations.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 10 of its 22 references that are in the map. First posted on arXiv 13 Oct 2023.
Builds on
10 of 22 references.
References · 10
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
- 2019fairseq: A Fast, Extensible Toolkit for Sequence Modelingcited by 1,486
- 2021XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scalecited by 589
- 2020fairseq S2T: Fast Speech-to-Text Modeling with fairseqcited by 174
- 2021SwissDial: Parallel Multidialectal Corpus of Spoken Swiss Germancited by 25
- 2022SDS-200: A Swiss German Speech to Standard German Text Corpuscited by 22
- 2023STT4SG-350: A Speech Corpus for All Swiss German Dialect Regionscited by 18
- 2020Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpuscited by 16
- 20232nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022cited by 2
- 2023Improving Metrics for Speech Translationcited by 1
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Citing papers per year: 2024: 2; 2025: 4; 2026: 1.
7 papers.
- 2024Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Artcited by 26
- 2024Fine-tuning Whisper on Low-Resource Languages for Real-World Applicationscited by 11
- 2025Isolating Culture Neurons in Multilingual Large Language Modelscited by 4
- 2025Advancing STT for Low-Resource Real-World Speechcited by 1
- 2025Voice Adaptation for Swiss Germancited by 0
- 2025SwissGPC v1.0 -- The Swiss German Podcasts Corpuscited by 0
- 2026Evaluating Japanese Dialect Robustness Across Speech and Text-based Large Language Modelscited by 0
- 2026Evaluating Japanese Dialect Robustness Across Speech and Text-based Large Language Models24 Jun 2026
- 2025SwissGPC v1.0 -- The Swiss German Podcasts Corpus24 Sep 2025
- 2025Isolating Culture Neurons in Multilingual Large Language Models4 Aug 2025
- 2025Advancing STT for Low-Resource Real-World Speech10 Jun 2025
- 2025Voice Adaptation for Swiss German28 May 2025
- 2024Fine-tuning Whisper on Low-Resource Languages for Real-World Applications20 Dec 2024
- 2024Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art6 Jun 2024