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SwissDial: Parallel Multidialectal Corpus of Spoken Swiss German

arXiv 2103.11401 ↗First posted 21 Mar 2021cs.CLcited by 25

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Abstract (arXiv)

Swiss German is a dialect continuum whose natively acquired dialects significantly differ from the formal variety of the language. These dialects are mostly used for verbal communication and do not have standard orthography. This has led to a lack of annotated datasets, rendering the use of many NLP methods infeasible. In this paper, we introduce the first annotated parallel corpus of spoken Swiss German across 8 major dialects, plus a Standard German reference. Our goal has been to create and to make available a basic dataset for employing data-driven NLP applications in Swiss German. We present our data collection procedure in detail and validate the quality of our corpus by conducting experiments with the recent neural models for speech synthesis.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). Builds on 8 of its 26 references that are in the map. First posted on arXiv 21 Mar 2021.

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8 of 26 references.

References · 8

  1. 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
  2. 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 800
  3. 2017Generalized End-to-End Loss for Speaker Verificationcited by 290
  4. 2018Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesiscited by 280
  5. 2019CSS10: A Collection of Single Speaker Speech Datasets for 10 Languagescited by 54
  6. 2017Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss Germancited by 9
  7. 2019Building a mixed-lingual neural TTS system with only monolingual datacited by 9
  8. 2020A Swiss German Dictionary: Variation in Speech and Writingcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 9; 2024: 4; 2025: 8; 2026: 1.

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  1. 2023Language Model Tokenizers Introduce Unfairness Between Languagescited by 207
  2. 2022SDS-200: A Swiss German Speech to Standard German Text Corpuscited by 22
  3. 2023STT4SG-350: A Speech Corpus for All Swiss German Dialect Regionscited by 18
  4. 2023A Survey of Corpora for Germanic Low-Resource Languages and Dialectscited by 16
  5. 2024Fine-tuning Whisper on Low-Resource Languages for Real-World Applicationscited by 11
  6. 2021Assessing Evaluation Metrics for Speech-to-Speech Translationcited by 10
  7. 2024Evaluating Pixel Language Models on Non-Standardized Languagescited by 10
  8. 2023Spaiche: Extending State-of-the-Art ASR Models to Swiss German Dialectscited by 8
  9. 2024Does Whisper understand Swiss German? An automatic, qualitative, and human evaluationcited by 8
  10. 2022Swiss German Speech to Text system evaluationcited by 7
  11. 2023Dialect Transfer for Swiss German Speech Translationcited by 7
  12. 2025A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translationcited by 7
13 more
  1. 2023RoDia: A New Dataset for Romanian Dialect Identification from Speechcited by 4
  2. 2025The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varietiescited by 4
  3. 20232nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022cited by 2
  4. 2023Low-resource Bilingual Dialect Lexicon Induction with Large Language Modelscited by 2
  5. 2025Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialectscited by 2
  6. 2023Text-to-Speech Pipeline for Swiss German -- A comparisoncited by 1
  7. 2024Dialetto, ma Quanto Dialetto? Transcribing and Evaluating Dialects on a Continuumcited by 1
  8. 2025Advancing STT for Low-Resource Real-World Speechcited by 1
  9. 2025Benchmarking NLP-supported Language Sample Analysis for Swiss Children's Speechcited by 0
  10. 2025Voice Adaptation for Swiss Germancited by 0
  11. 2025Swiss Parliaments Corpus Re-Imagined (SPC_R): Enhanced Transcription with RAG-based Correction and Predicted BLEUcited by 0
  12. 2025SwissGPC v1.0 -- The Swiss German Podcasts Corpuscited by 0
  13. 2026Can LLM Agents Identify Spoken Dialects like a Linguist?cited by 0