On the Application of Blind Source Separation Algorithm in Speech Separation

Blind source separation technology refers to the process for observing the recovery of source signals by mixed signals through statistical analysis on the characteristics of source signals under the situation that the source signals and signal transmission signals are unknown, which is applied in many fields, particularly used extensively in processing speech signals, array signals, images and medical signals, etc. It is pretty important for separating speech signals, regarded as a key technology in current research field of speech signals. This paper plainly studied the blind source separation, including technical status quo and development as well as principles of blind source separation technologies and solutions, etc. Meanwhile, it roughly introduced the application of separation algorithm in processing digital signals. In particular, the feasibility of the algorithm was validated by analyzing basic theories and simulating speech signals. Moreover, this paper examined the effect of separation algorithm when it was practically used for blind source separation of speech signals.