Multi-stream language identification using data-driven dependency selection

@inproceedings{Parandekar2003MultistreamLI,
  title={Multi-stream language identification using data-driven dependency selection},
  author={Sonia Parandekar and Katrin Kirchhoff},
  booktitle={ICASSP},
  year={2003}
}
The most widespread approach to automatic language identification in the past has been the statistical modeling of phone sequences extracted from speech signals. Recently, we have developed an alternative approach to LID based on n-gram modeling of parallel streams of articulatory features, which was shown to have advantages over phone-based systems on short test signals whereas the latter achieved a higher accuracy on longer signals. Additionally, phone and feature streams can be combined to… CONTINUE READING
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A Segmental Approach to Automatic Language Identification

  • Y. K. Muthusamy
  • Ph.D. thesis, Oregon Graduate Institute,
  • 1993
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