Title :
Genetic programming-based voice activity detection
Author :
Estévez, P.A. ; Becerra-Yoma, N. ; Boric, N. ; Ramírez, J.A.
Author_Institution :
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile
Abstract :
A voice activity detection (VAD) algorithm is generated by using genetic programming (GP). The inputs of this VAD are the parameters extracted from the speech signals according to the ITU-T G.729B VAD standard. The GP-based VAD algorithm (GP-VAD) is evaluated using the AURORA-2 database. It is shown that the GP-VAD achieves approximately the same behaviour as the G.729B standard with a high artificial-to-intelligence ratio.
Keywords :
artificial intelligence; genetic algorithms; speech processing; standards; AURORA-2 database; G.729B standard; GP-VAD; ITU-T G.729B VAD standard; VAD algorithm; artificial-to-intelligence ratio; genetic programming; high artificial-to-intelligence ratio; parameters extraction; speech signal; voice activity detection;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20052475
