New method of underdetermined blind voice source separation
BAI Lin,CHEN Hao
(National Key Laboratory of Science & Technology on Space Microwave Technology, Xi’an Division of China Academy of Space Technology, Xi’an 710000, China)Abstract:This paper put forward a new kind of two-step approach to separate underdetermined blind voice signals. The first step:the mixing matrix was estimated by searching observation signals newly constructed.The second step:a new concept of pseudo extraction vectors was put forward and the pseudo extraction vectors were used to recover the signal dominating for each sampling. In the process of separating the source signals, the method based on linear programming was also used. Some conclusions could be seen: the method based on pseudo extraction vectors free of optimizing process increases the velocity of separating source signals. The velocity of separation of the method based on pseudo extraction vectors was several-fold of the method based on linear programming.The precision of separation of the method based on pseudo extraction vectors was also not lower than the method based on linear programming. The simulating results illustrate the better performance of the method.......