Adaptive V/UV speech detection based on acoustic noise estimation and classification

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 ETS1 AMR. In all cases the adaptive V/UV classifier outperformed the traditional solutions.