Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus

Christian Scheller; Lukas Neukom; Manfred Vogel; Michel Pl\"uss

Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus

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arxiv 2010.02810 v2 pith:ELUYHBVK submitted 2020-10-06 cs.CL cs.LG

Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus

Michel Pl\"uss , Lukas Neukom , Christian Scheller , Manfred Vogel This is my paper

classification cs.CL cs.LG

keywords corpusgermanswissdataspeechalignedalignmentautomatically

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We present the Swiss Parliaments Corpus (SPC), an automatically aligned Swiss German speech to Standard German text corpus. This first version of the corpus is based on publicly available data of the Bernese cantonal parliament and consists of 293 hours of data. It was created using a novel forced sentence alignment procedure and an alignment quality estimator, which can be used to trade off corpus size and quality. We trained Automatic Speech Recognition (ASR) models as baselines on different subsets of the data and achieved a Word Error Rate (WER) of 0.278 and a BLEU score of 0.586 on the SPC test set. The corpus is freely available for download.

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Saar-Voice is a new six-hour speech corpus for the Saarbrücken dialect of German, recorded by nine speakers with aligned text and audio for dialect-aware TTS research.