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Data · dataset · 2017

ShefCE: A Cantonese-English bilingual speech corpus

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ShefCE is a Cantonese English bilingual parallel speech corpus recorded by L2 English learners in Hong Kong. 31 undergraduate to postgraduate students in Hong Kong aged 20-30 were recruited and recorded a 25-hour speech corpus (12 hours in Cantonese and 13 hours in English).

Description

Details can be found in [1].The corpus is available free of charge for academic research, teaching and non-commercial use. A data request form has to be signed and submitted to the University of Sheffield to use the data.

Please find the details and the data request form at mini.dcs.shef.ac.uk/resources/shefce, and cite [1] when using the data.[1] Raymond W. M. Ng, Alvin C.M. Kwan, Tan Lee and Thomas Hain, "ShefCE: A Cantonese-English Bilingual Speech Corpus for Pronunciation Assessment", in Proc. The 42th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2017.

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Inferred from text
Audio 65%
Provenance · 2 source records, 12 field assertions
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DataCite10.15131/shef.data.452290714 d agoJSON v1
DataCite10.15131/shef.data.4522907.v114 d agoJSON v1
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