• DocumentCode
    1577142
  • Title

    Phonetic analysis of a computational model for vocabulary acquisition from auditory inputs

  • Author

    Van hamme, Hugo

  • Author_Institution
    Dept. ESAT, Katholieke Univ. Leuven, Leuven, Belgium
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An overview of the NMF (non-negative matrix factorization) approach for word acquisition from auditory inputs is given. The method can link acoustic realizations of spoken words with information observed in other modalities. The method is applied to the acquisition of a small set of keywords embedded in carrier sentences. A phonetic description is linked to the learned representations which are otherwise difficult to interpret. Through this link, the phonetic similarity between the learned acoustic representations and lexical items is displayed and interpreted.
  • Keywords
    learning (artificial intelligence); natural language processing; acoustic representation; auditory inputs; computational model; lexical items; nonnegative matrix factorization; phonetic analysis; phonetic description; phonetic similarity; spoken words; vocabulary acquisition; word acquisition; Art; Hidden Markov models; Indexes; Manganese; non-negative matrix factorization; pattern discovery; word acquisition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Development and Learning (ICDL), 2011 IEEE International Conference on
  • Conference_Location
    Frankfurt am Main
  • ISSN
    2161-9476
  • Print_ISBN
    978-1-61284-989-8
  • Type

    conf

  • DOI
    10.1109/DEVLRN.2011.6037365
  • Filename
    6037365