HTK-HCompv

[size=large][align=center]HCompv[/align][/size]

1.Function
This program will calculate the global mean and covariance of a set of training data. It is primarily used to initialise the parameters of a HMM such that all component meand and all covatiances are set equal to the global data mean and covatiance. This might form the first start training scheme where all models are initially given the same parameters.

2.[size=large][color=red]$HCompV -A -D -T 1 -C config -f 0.01 -m -S train.scp -M hmm0 proto[/color][/size]

-C cf :set config file to cf
-f f:Output vFloor as f * global var
-c dir Set output directiry for CMV none
-f f Output vFloor as f * global var none
-k s spkr pattern for CMV none
-l s Set segment label to s none
-m Update means off
-o fn Store new hmm def in fn (name only) outDir/srcfn
-p s path pattern for CMV none
-q nmv output type flags for CMV m
-v f Set minimum variance to f 0.0
-A Print command line arguments off
-B Save HMMs/transforms as binary off
-C cf Set config file to cf default
-D Display configuration variables off
-F fmt Set source data format to fmt as config
-G fmt Set source label format to fmt as config
-H mmf Load HMM macro file mmf
-I mlf Load master label file mlf
-L dir Set input label (or net) dir current
-M dir Dir to write HMM macro files current
-S f Set script file to f none
-T N Set trace flags to N 0
-V Print version information off
-X ext Set input label (or net) file ext lab