Blind speech signal separation in wireless sensor networks

Abstract

In this paper, problems concerning blind speech signal separation in wireless sensor networks (WSNs) are discussed. The observations captured by sensors are assumed to be linear instantaneous mixtures of the speech sources in the sensing field. First, a framework is designed for the collection, transmission and separation of mixtures of speech signal in WSNs, and the corresponding algorithm appropriate for blind speech signal separation in wireless sensor networks is selected. We also propose the corresponding sensor selection scheme in WSNs on purpose of energy conservation while ensuring the performance of blind speech signal separation. Experimental results show that the mixtures of speech signal can be effectively separated in the assumed WSN scenario with the traditional blind signal separation (BSS) algorithm we select and the schemes for energy efficiency we propose.