Ex parte TSUBOKA - Page 1




             The opinion in support of the decision being entered today was not written
                    for publication and is not binding precedent of the Board.        
                                                                 Paper No. 31         
                       UNITED STATES PATENT AND TRADEMARK OFFICE                      
                                     ____________                                     
                          BEFORE THE BOARD OF PATENT APPEALS                          
                                  AND INTERFERENCES                                   
                                     ____________                                     
                                Ex parte EIICHI TSUBOKA                               
                                     ____________                                     
                                 Appeal No. 2000-0189                                 
                              Application No. 08/864,460                              
                                     ____________                                     
                                 HEARD: Jan. 17, 2002                                 
                                     ____________                                     
          Before KRASS, BARRETT, and BARRY, Administrative Patent Judges.             
          BARRY, Administrative Patent Judge.                                         


                                  DECISION ON APPEAL                                  
               The examiner rejected claims 1-13.  The appellant appeals              
          therefrom under 35 U.S.C. § 134(a).  We reverse.                            


                                     BACKGROUND                                       
               The invention at issue in this appeal is a Hidden Markov               
          Model (“HMM”) generator that is applicable to such pattern                  
          recognitions as speech recognition.  The HMM generator                      
          includes a vector quantizing means for quantizing vectors of a              
          training pattern having a vector series and converting the                  






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