Frequency domain semi-blind signal separation: application to the rejection of internal noises

Recently, methods using blind signal separation were proposed to separate the signals received by a microphone array. In this paper, we propose a new frequency domain semi-blind source separation method for replacing the blind source separation method when it is possible to obtain additional information on some of the signals. This is of particular interest in situations like in hands-free speech recognition where the blind separation has to work on limited amount of data in a challenging environment. The proposed method incorporates references to some of the signals that are obtained by additional sensors. Some experimental results shows that the proposed method is able to incorporate the additional information efficiently and that the performances are improved in term of SNR and word accuracy in a speech recognition task.