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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


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.