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    STUDIA INFORMATICA - Issue no. 1 / 2006  
         
  Article:   BROAD PHONETIC CLASSES EXPRESSING SPEAKER INDIVIDUALITY.

Authors:  MARGIT ANTAL, GAVRIL TODEREAN.
 
       
         
  Abstract:  Vector quantisation and Gaussian mixture modelling methods are very popular methods for automatic speaker identification. First we give a concise overview of these methods, then present some measurements com- paring them on behalf of the TIMIT corpus. The aim of this paper is to study the in░uence of the speech material on performances of such methods. For this purpose pure phonetic speaker models were created containing speech data from a single broad phonetic class. The speaker discriminative prop- erty of these pure phonetic speaker models had been investigated. Among the broad phonetic classes nasals and vowels were found to be particularly speaker specific.  
         
     
         
         
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