  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.
