Speaker Index Algorithm of Three-layer Criterion
Xue-Fang Chen, Jichen Yang · Jisuanji gongcheng · 2012
To improve the precision of speaker index,a speaker indexing algorithm of three-layer criterion is proposed.In the first layer,penalty distance is proposed to judge whether speaker changes.In the second layer,speaker model bootstrapping is used to identify speaker first time.In the third layer,GMM Speaker Supervector(GMMSS) is used to identify speaker further in order to settle the problem of data mismatch in speaker model bootstrapping.Experimental results show that,it is no need to tune penalty factor compared to BIC and F1 can improve 2% compared to DISTBIC;speaker indexing accuracy can improve 8.95% and the accuracy on the number of speaker can improve 18.25% by using GMMSS in speaker identification.