Title :
Adaptive V/UV speech detection based on acoustic noise estimation and classification
Author :
Beritelli, F. ; Casale, S. ; Serrano, S.
Author_Institution :
Dipt. di Ingegneria Informatica e delle Telecomunicazioni, Univ. degli Studi di Catania
Abstract :
An adaptive system for Voiced/Unvoiced (V/UV) speech detection in the presence of background noise is presented. The results were compared with a non-adaptive classification system and the V/UV detectors adopted by three important speech coding standards: LPC10, ITU-T G. 723.1 and ETSI AMR. In all cases the adaptive V/UV classifier outperformed the traditional solutions
Keywords :
pattern classification; speech coding; speech recognition; standards; ETSI AMR standard; ITU-T G.723.1 standard; LPC10 standard; acoustic noise estimation; adaptive speech detection; background noise; speech coding;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20073800
