
Kaldi
LiFeitengup
大连理工大学数学硕士在读关注计算机视觉机器学习数据分析Email-lifeiteng0422gmail.com
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Kaldi shell 脚本解析命令行选项
训练神经网络片段:{ # Train the MLPtrain_ali=exp/tri4b_train_alicv_ali=exp/tri4b_dev_ali$cuda_cmd $dir/log/train_nnet.log \ steps/train_nnet.sh --copy-feats false \ --apply-cmvn true --norm-vars tru原创 2014-03-17 17:05:38 · 7403 阅读 · 0 评论 -
Kaldi .cc文件的命令行解析
通过src/util/parse-options.h 中定义的ParseOptions类来解析参数Shell脚本的使用:src/nnetbin/nnet-train-frmshuff.cc 用来训练神经网络 即上图 train_tool=nnet-train-frmshuff NnetTrainOptions trn_opts; trn_o原创 2014-03-17 18:44:41 · 4496 阅读 · 0 评论 -
Sequence Training in DNN/CNN for ASR
IBM系:【1】B. Kingsbury, “Lattice-Based Optimization of Sequence Classification Criteria for Neural-Network Acoustic Modeling,” in Proc. ICASSP,2009.【2】Kingsbury B, Sainath T N, Soltau H. Scalable Mi原创 2014-03-26 14:18:29 · 5357 阅读 · 0 评论