Real-time implementation of voice activity detector on ARM embedded processor of smartphones

This paper presents the real-time implementation of a previously developed voice activity detector (VAD) on ARM embedded processor of smartphones as an app. The implementation is carried out on both Android and iOS smartphones. The real-time detection rates on smartphone platforms in realistic audio environments are reported. As an application of the developed app, it is used to act as an automatic switch between noise and speech sound signals in a noise adaptive speech enhancement pipeline. Objective measures are considered to examine enhanced speech for the switching done automatically and manually as the ground truth. The results obtained indicate that the automatic switching done by the real-time smartphone VAD app performs identical to the manual switching.