Towards robust word discovery by self-similarity matrix comparison

@article{Muscariello2011TowardsRW,
  title={Towards robust word discovery by self-similarity matrix comparison},
  author={Armando Muscariello and Guillaume Gravier and Fr{\'e}d{\'e}ric Bimbot},
  journal={2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2011},
  pages={5640-5643}
}
Word discovery is the task of discovering and collecting occurrences of repeating words in the absence of prior acoustic and linguistic knowledge, or training material. The capability of extracting such patterns (or motifs) represents a preliminary step towards automatic mining of contentful information in spoken documents. The absence of modelling and training data, forces the use of direct pattern matching of speech templates, which, in turn, is sensitive to speech variability, like the inter… CONTINUE READING

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