SNuC: The Sheffield Numbers Spoken Language Corpus
SNuC is the first published corpus of spoken alphanumeric identifiers of the sort typically used as serial and part numbers in the manufacturing sector. The dataset contains recordings and transcriptions of over 50 native British English speakers, speaking over 13,000 multi-character alphanumeric sequences and totalling almost 20 hours of recorded speech.
Ethical approval to use human participants to gather spoken data using the setup described above was sought and obtained via the University of Sheffield's Research Ethics Review procedures (application 031449).
Please refer to the following paper for more information about this dataset:
Barker, E., Barker, J., Gaizauskas, R., Ma, N., Paramita, M. L. 2022. SNuC: The Sheffield Numbers Spoken Language Corpus. In: Proceedings of LREC 2022 (forthcoming).
University of Sheffield Impact, Innovation and Knowledge Exchange (IIKE) Fund
Research England-funded PitchIn project
- The project has ethical approval and the number is included in the description field
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The data can be shared openly
- The file formats are open or commonly used
Methodology, headings and units
- There is a file including methodology, headings and units, such as a readme.txt