语音识别——kaldi 模型训练工具整理

 Accumulate statistics for phonetic-context tree building.
Usage:  acc-tree-stats [options] <model-in> <features-rspecifier> <alignments-rspecifier> <tree-accs-out>
e.g.: 
 acc-tree-stats 1.mdl scp:train.scp ark:1.ali 1.tacc 

##cluster-phones

 Cluster phones (or sets of phones) into sets for various purposes
Usage:  cluster-phones [options] <tree-stats-in> <phone-sets-in> <clustered-phones-out>
e.g.: 
 cluster-phones 1.tacc phonesets.txt questions.txt 

##compile-questions

Compile questions
Usage:  compile-questions [options] <topo> <questions-text-file> <questions-out>
e.g.: 
 compile-questions questions.txt questions.qst 

##build-tree

Train decision tree
Usage:  build-tree [options] <tree-stats-in> <roots-file> <questions-file> <topo-file> <tree-out>
e.g.: 
 build-tree treeacc roots.txt 1.qst topo tree 

##gmm-init-model

初始化三因素模型，通过

Initialize GMM from decision tree and tree stats
Usage:  gmm-init-model [options] <tree-in> <tree-stats-in> <topo-file> <model-out> [<old-tree> <old-model>]
e.g.: 
  gmm-init-model tree treeacc topo 1.mdl
or (initializing GMMs with old model):
  gmm-init-model tree treeacc topo 1.mdl prev/tree prev/30.mdl 

##gmm-init-mono

Initialize monophone GMM.
Usage:  gmm-init-mono <topology-in> <dim> <model-out> <tree-out> 
e.g.: 
 gmm-init-mono topo 39 mono.mdl mono.tree 

##gmm-mixup

 Does GMM mixing up (and Gaussian merging)
Usage:  gmm-mixup [options]   
e.g. of mixing up:
 gmm-mixup --mix-up=4000 1.mdl 1.occs 2.mdl
e.g. of merging:
 gmm-mixup --merge=2000 1.mdl 1.occs 2.mdl

##convert-ali

 Convert alignments from one decision-tree/model to another
Usage:  convert-ali  [options] <old-model> <new-model> <new-tree> <old-alignments-rspecifier> <new-alignments-wspecifier>
e.g.: 
 convert-ali old/final.mdl new/0.mdl new/tree ark:old/ali.1 ark:new/ali.1

##compile-train-graphs

 Creates training graphs (without transition-probabilities, by default)
Usage:   compile-train-graphs [options] <tree-in> <model-in> <lexicon-fst-in> <transcriptions-rspecifier> <graphs-wspecifier>
e.g.: 
 compile-train-graphs tree 1.mdl lex.fst 'ark:sym2int.pl -f 2- words.txt text|' ark:graphs.fsts