Monaural speech separation based on multi-pitch tracking
基于多基音跟踪的单声道混合语音分离

This paper proposed a multi-pitch tracking based monaural speech separation system to solve the problem that many computational auditory scene analysis(CASA) systems could not process the mixture signal of multi-speaker.The proposed system made use of the latest achievement in the field of multi-pitch tracking.Through combing the pitch contours of target speech and interference acquired by multi-pitch tracking algorithm into the CASA system,improved obviously the performance of separation system for various mixture conditions,including two-speaker mixture condition,which offered a good solution to separate the mixture speech of multi-speaker.