TY - CHAP A1 - Hönig, Florian A1 - Bocklet, Tobias A1 - Riedhammer, Korbinian A1 - Batliner, Anton A1 - Nöth, Elmar T1 - The Automatic Assessment of Non-native Prosody: Combining Classical Prosodic Analysis with Acoustic Modelling T2 - INTERSPEECH 2012, 13th Annual Conference of the International Speech Communication Association (ISCA), Portland, OR, USA, September 2012. N2 - In earlier studies, we assessed the degree of non-nativeness employing prosodic information. In this paper, we combine prosodic information with (1) features derived from a Gaussian Mixture Model used as Universal Background Model (GMM-UBM), a powerful approach used in speaker identification, and (2) openSMILE, a standard open-source toolkit for extracting acoustic features. We evaluate our approach with English speech from 94 non-native speakers. GMM-UBM or openSMILE modelling alone yields lower performance than our prosodic feature vector; however, adding information from the GMM-UBM modelling or openSMILE by late fusion improves results. KW - computer-assisted language learning KW - non-native prosody KW - rhythm KW - automatic assessment Y1 - 2012 ER -