Decision tree based speech recognition

作者: Hang Lee

DOI:

关键词:

摘要: A method ( 200 ) is described for creating decision trees processing a sampled signal indicative of speech. The includes providing model sub vectors 220 from partitioned statistical speech models phones, the comprising mean values and associated variance values. then provides statistically analyzing 230 to provide projection indicating directions relative maximum between thereafter calculating 240 vectors. selecting potential threshold 260 step applied, being determined analysis range Finally 270 effected tree having decisions divide into groups, groups leaves tree. are based upon selected values, by change in said There also recognition 300 that uses created ).

参考文章(3)
Mukund Padmanabhan, David Nahamoo, Lalit Rai Bahl, Peter Vincent deSouza, System and method for partitioning the feature space of a classifier in a pattern classification system ,(1997)
Lalit Rai Bahl, State-dependent speaker clustering for speaker adaptation Journal of the Acoustical Society of America. ,vol. 105, pp. 1449- ,(1995) , 10.1121/1.426671