ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Information bottleneck based age verification

Ron M. Hecht, Omer Hezroni, Amit Manna, Gil Dobry, Yaniv Zigel, Naftali Tishby

Word N-gram models can be used for word-based age-group verification. In this paper the agglomerative information bottleneck (AIB) approach is used to tackle one of the most fundamental drawbacks of word N-gram models: its abundant amount of irrelevant information. It is demonstrated that irrelevant information can be omitted by joining words to form word-clusters; this provides a mechanism to transform any sequence of words to a sequence of word-cluster labels. Consequently, word N-gram models are converted to word-cluster N-gram models which are more compact. Age verification experiments were conducted on the Fisher corpora. Their goal was to verify the age-group of the speaker of an unknown speech segment. In these experiments an N-gram model was compressed to a fifth of its original size without reducing the verification performance. In addition, a verification accuracy improvement is demonstrated by disposing irrelevant information.

doi: 10.21437/Interspeech.2009-72

Cite as: Hecht, R.M., Hezroni, O., Manna, A., Dobry, G., Zigel, Y., Tishby, N. (2009) Information bottleneck based age verification. Proc. Interspeech 2009, 188-191, doi: 10.21437/Interspeech.2009-72

  author={Ron M. Hecht and Omer Hezroni and Amit Manna and Gil Dobry and Yaniv Zigel and Naftali Tishby},
  title={{Information bottleneck based age verification}},
  booktitle={Proc. Interspeech 2009},