@inproceedings{HoenigBockletRiedhammeretal.2012, author = {H{\"o}nig, Florian and Bocklet, Tobias and Riedhammer, Korbinian and Batliner, Anton and N{\"o}th, Elmar}, title = {The Automatic Assessment of Non-native Prosody: Combining Classical Prosodic Analysis with Acoustic Modelling}, series = {INTERSPEECH 2012, 13th Annual Conference of the International Speech Communication Association (ISCA), Portland, OR, USA, September 2012.}, booktitle = {INTERSPEECH 2012, 13th Annual Conference of the International Speech Communication Association (ISCA), Portland, OR, USA, September 2012.}, year = {2012}, abstract = {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.}, language = {en} }