Text-to-Speech Pipeline for Swiss German -- A comparison
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Abstract (arXiv)
In this work, we studied the synthesis of Swiss German speech using different Text-to-Speech (TTS) models. We evaluated the TTS models on three corpora, and we found, that VITS models performed best, hence, using them for further testing. We also introduce a new method to evaluate TTS models by letting the discriminator of a trained vocoder GAN model predict whether a given waveform is human or synthesized. In summary, our best model delivers speech synthesis for different Swiss German dialects with previously unachieved quality.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 11 of its 19 references that are in the map. First posted on arXiv 31 May 2023.
Builds on
11 of 19 references.
References · 11
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
- 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 804
- 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 752
- 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 717
- 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 561
- 2018ESPnet: End-to-End Speech Processing Toolkitcited by 558
- 2019MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesiscited by 354
- 2019Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogramcited by 340
- 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 278
- 2021SwissDial: Parallel Multidialectal Corpus of Spoken Swiss Germancited by 26
- 2022SDS-200: A Swiss German Speech to Standard German Text Corpuscited by 22
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Citing papers per year: 2025: 1.
1 paper.
- 2025SwissGPC v1.0 -- The Swiss German Podcasts Corpuscited by 0
- 2025SwissGPC v1.0 -- The Swiss German Podcasts Corpus24 Sep 2025