ISCA Archive Interspeech 2013
ISCA Archive Interspeech 2013

ivector-based acoustic data selection

Olivier Siohan, Michiel Bacchiani

This paper presents a data selection approach where spoken utterances are selected in a sequential fashion from a large out-of-domain data set to match the utterance distribution of an in-domain data set. We propose to represent each utterance by its iVector, a low dimensional vector indicating the coordinate of that utterance in a subspace acoustic model. We show that the distribution of iVectors can characterize a data set and enables distinguishing subsets of utterances from different domains. Last, we present experimental speech recognition results based on a system trained on a data set constructed by the proposed algorithm and a comparison with random data selection.

doi: 10.21437/Interspeech.2013-188

Cite as: Siohan, O., Bacchiani, M. (2013) ivector-based acoustic data selection. Proc. Interspeech 2013, 657-661, doi: 10.21437/Interspeech.2013-188

  author={Olivier Siohan and Michiel Bacchiani},
  title={{ivector-based acoustic data selection}},
  booktitle={Proc. Interspeech 2013},