Title :
Evolutionary algorithm for speech segmentation
Author :
Milone, D.H. ; Merelo, J.J. ; Rufiner, H.L.
Author_Institution :
Cybern. Lab., Nat. Univ. of Entre Rios, Argentina
fDate :
6/24/1905 12:00:00 AM
Abstract :
Speech segmentation is one of the problems in the speech processing area. The main techniques that attempt to solve it are manual segmentation and hidden Markov model alignment. In this work a new technique based on an evolutionary algorithm that permits to segment the speech without a previous training process is presented
Keywords :
evolutionary computation; hidden Markov models; speech processing; HMM; evolutionary algorithm; hidden Markov model; speech distance measurements; speech processing; speech segmentation; training process; Automatic speech recognition; Evolutionary computation; Hidden Markov models; Image segmentation; Manuals; Signal processing; Signal sampling; Speech analysis; Speech processing; Speech recognition;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004399
