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RescueSpeech: A German Corpus for Speech Recognition in Search and Rescue Domain

Sangeet Sagar; Mirco Ravanelli; Bernd Kiefer; Ivana Kruijff-Korbayová
In: 2023 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) - Proceedings. IEEE Automatic Speech Recognition and Understanding Workshop (ASRU-2023), December 16-20, Taipei, Taiwan, Province of China, IEEE Xplore, 2023.


Despite the recent advancements in speech recognition, there are still difficulties in accurately transcribing conversational and emotional speech in noisy and reverberant acoustic en- vironments. This poses a particular challenge in the search and rescue (SAR) domain, where transcribing conversations among rescue team members is crucial to support real-time decision-making. The scarcity of speech data and associated background noise in SAR scenarios make it difficult to deploy robust speech recognition systems. To address this issue, we have created and made publicly available a German speech dataset called RescueSpeech. This dataset includes real speech recordings from simulated rescue exercises. Additionally, we have released competitive train- ing recipes and pre-trained models. Our study highlights that the performance attained by state-of-the-art methods in this challenging scenario is still far from reaching an acceptable level.


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