Towards link characterization from content

@article{Grothendieck2008TowardsLC,
  title={Towards link characterization from content},
  author={John Grothendieck and A. Gorin},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2008},
  pages={4849-4852}
}
  • John Grothendieck, A. Gorin
  • Published 2008
  • Computer Science
  • 2008 IEEE International Conference on Acoustics, Speech and Signal Processing
In processing large volumes of speech and language data, we are often interested in the distribution of languages, speakers, topics, etc. For large data sets, these distributions are typically estimated at a given point in time using pattern classification technology. Such estimates can be highly biased, especially for rare classes. While these biases have been addressed in some applications, they have thus far been ignored in the speech and language literature. This neglect causes significant… Expand
Error correction of proportions in spoken opinion surveys

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