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Carina – A Corpus of Aligned German Read Speech Including Annotations

Hannes Kath; Simon Stone; Stefan Rapp; Peter Birkholz
In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). International Conference on Acoustics, Speech and Signal Processing (ICASSP-2022), May 22-27, Singapore, Singapore, Pages 6157-6161, ICASSP, Institute of Electrical and Electronics Engineers (IEEE), 5/2022.


This paper presents the semi-automatically created Corpus of Aligned Read Speech Including Annotations (CARInA), a speech corpus based on the German Spoken Wikipedia Corpus (GSWC). CARInA tokenizes, consolidates and organizes the vast, but rather unstructured material contained in GSWC. The contents are grouped by annotation completeness, and extended by canonic, morphosyntactic and prosodic annotations. The annotations are provided in BPF and TextGrid format. It contains 194 hours of speech material from 327 speakers, of which 124 hours are fully phonetically aligned and 30 hours are fully aligned at all annotation levels. CARInA is freely available 1 , designed to grow and improve over time, and suitable for large-scale speech analyses or machine learning tasks as illustrated by two examples shown in this paper.

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