Wiener filtration for speech extraction from the intentionally corrupted signals

This paper suggests a speech enhancement approach to an eavesdropping audio system. Speech signal is disturbed by non-stochastic noise. The algorithm is based on recordings from dual-microphone system. The Wiener filter was applied for speech extraction. The algorithm is designed to capture dialogues in noisy environment as well. It uses the small differences between recordings. The differences in speaker and the source of noise localisation together with differences in spectra, enable us to split both signals.