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Dipl.-Inf. Florian Hönig

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

developing speech technology to aid second-language learning

ComParE 2015 degree of nativeness data

This collection of data contains audio recordings for scoring the prosody of non-native English in the context of second language learning and computer-assisted pronunciation training. The data was used in the Degree of Nativeness Sub-Challenge of the INTERSPEECH 2015 COMputational PARalinguistics challengE (ComParE 2015)

Björn Schuller, Stefan Steidl, Anton Batliner, Simone Hantke, Florian Hönig, Juan Rafael Orozco-Arroyave, Elmar Nöth,Yue Zhang, Felix Weninger: “The INTERSPEECH 2015 Computational Paralinguistics Challenge: Nativeness, Parkinson's and Eating Condition. Proceedings of INTERSPEECH 2015, Dresden, 2015, pp. 478-482.

More detailed descriptions of the data are given in 

Hönig, F., Batliner, A., and Nöth, E.: "Automatic Assessment of Non-Native Prosody. Annotation, Modelling and Evaluation." In Proc. of the International Symposium on Automatic Detection of Errors in Pronunciation Training (ISADEPT), pages 21–30, Stockholm. 2012

and

Assessing the Prosody of Non-Native Speakers of English: Measures and Feature Sets. Eduardo Coutinho, Florian Hönig, Yue Zhang, Simone Hantke, Anton Batliner, Elmar Nöth, Björn Schuller.Ms., to appear.