RoSAC: A Speech Corpus for Transcribing Romanian Emergency Calls

Abstract

Publicly available speech datasets for Romanian are still scarce, being far from enough for obtaining state-of-the-art performance with modern deep neural networks. As a response to this issue, during the development of an internal automatic speech recognition system for the national emergency call center, we have created the Romanian Speech Alert Corpus, a new Romanian speech corpus that was obtained by crowd-sourcing the reading of sentences in our institution. This paper describes the data acquisition process, several statistics about the resulted corpus and the algorithm we employed for removing the inadequate recordings.