Language identification using phone-based acoustic likelihoods

  title={Language identification using phone-based acoustic likelihoods},
  author={Lori Lamel and Jean-Luc Gauvain},
In this paper we apply the technique of phone-based acoustic likelihoods to the problem of language identification. The basic idea is to process the unknown speech signal by language-specific phone model sets in parallel, and to hypothesize the language associated with the model set having the highest likelihood. Using laboratory quality speech the language can be identified as French or English with better than 99% accuracy with only as little as 2s of speech. On spontaneous telephone speech… CONTINUE READING
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