A Vector Space Modeling Approach to Spoken Language Identification

@article{Li2007AVS,
  title={A Vector Space Modeling Approach to Spoken Language Identification},
  author={Haizhou Li and Bin Ma and Chin-Hui Lee},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2007},
  volume={15},
  pages={271-284}
}
We propose a novel approach to automatic spoken language identification (LID) based on vector space modeling (VSM). It is assumed that the overall sound characteristics of all spoken languages can be covered by a universal collection of acoustic units, which can be characterized by the acoustic segment models (ASMs). A spoken utterance is then decoded into a sequence of ASM units. The ASM framework furthers the idea of language-independent phone models for LID by introducing an unsupervised… CONTINUE READING
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