Logatom articulation index evaluation of speech enhanced by blind source separation and single-channel noise reduction

The subjective logatom articulation index of speech
signals enhanced by means of various digital signal processing methods has been
measured. To improve intelligibility, the convolutive blind source separation
(BSS) algorithm by Parra and Spence [1] has been used in combination with
classical denoising algorithms. The efficiency of these algorithms has been
investigated for speech material recorded in two spatial configurations. It has
been shown that the BSS algorithm can highly improve speech recognition.
Moreover, a combination of the BSS with single-microphone denoising methods can
additionally increase the logatom articulation index.