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Czech parliament meeting recordings as ASR training data

Krůza Jan Oldřich

Annals of Computer Science and Information Systems

2020

Vol. 21

185--188

I present a way to leverage the stenographed recordings of the Czech parliament meetings for purposes of training a speech-to-text system. The article presents a method for scraping the data, acquiring word-level alignment and selecting reliable parts of the imprecise transcript. Finally, I present an ASR system trained on these and other data.