ISCA Archive Interspeech 2013
ISCA Archive Interspeech 2013

Native accent classification via i-vectors and speaker compensation fusion

Andrea DeMarco, Stephen J. Cox

We present a comprehensive analysis of the use of I-vector based classifiers for the classification of unlabelled acoustic data as native British accents. We demonstrate the different behaviours of various popular dimensionality reduction techniques that have been previously used in problems such as speaker and language classification. Our results show that a fusion of I-vector based systems gives state-of-the-art performance for unlabelled classification of British accent speech data, reaching .81% accuracy.


doi: 10.21437/Interspeech.2013-382

Cite as: DeMarco, A., Cox, S.J. (2013) Native accent classification via i-vectors and speaker compensation fusion. Proc. Interspeech 2013, 1472-1476, doi: 10.21437/Interspeech.2013-382

@inproceedings{demarco13_interspeech,
  author={Andrea DeMarco and Stephen J. Cox},
  title={{Native accent classification via i-vectors and speaker compensation fusion}},
  year=2013,
  booktitle={Proc. Interspeech 2013},
  pages={1472--1476},
  doi={10.21437/Interspeech.2013-382}
}