Speech recognition Kaldi:qsub的输出是：qsub:unligal-c value“&引用；当尝试运行公共语音配方时

我正在尝试在我的计算机上运行Kaldi的Common Voice recipe（）（即，不在集群上）。它崩溃时出现错误消息

，qsub的输出为：qsub:invalize-c value”“

。可能是什么问题

---

具体而言，以下是整个错误堆栈：

[...]
Succeeded in formatting LM: 'data/local/lm.gz'
steps/make_mfcc.sh --cmd queue.pl --mem 2G --nj 20 data/valid_train exp/make_mfcc/valid_train mfcc
utils/validate_data_dir.sh: Successfully validated data-directory data/valid_train
steps/make_mfcc.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.
queue.pl: Error submitting jobs to queue (return status was 512)
queue log file is exp/make_mfcc/valid_train/q/make_mfcc_valid_train.log, command was qsub -v PATH -cwd -S /bin/bash -j y -l arch=*64* -o exp/make_mfcc/valid_train/q/make_mfcc_valid_train.log  -l mem_free=2G,ram_free=2G  -t 1:20 /home/ubuntu/kaldi/egs/commonvoice/s5/exp/make_mfcc/valid_train/q/make_mfcc_valid_train.sh >>exp/make_mfcc/valid_train/q/make_mfcc_valid_train.log 2>&1
Output of qsub was: qsub: illegal -c value ""
usage: qsub [-a date_time] [-A account_string] [-b secs]
      [-c [ none | { enabled | periodic | shutdown |
      depth=<int> | dir=<path> | interval=<minutes>}... ]
      [-C directive_prefix] [-d path] [-D path]
      [-e path] [-h] [-I] [-j oe] [-k {oe}] [-l resource_list] [-m n|{abe}]
      [-M user_list] [-N jobname] [-o path] [-p priority] [-P proxy_user] [-q queue]
      [-r y|n] [-S path] [-t number_to_submit] [-T type]  [-u user_list] [-w] path
      [-W otherattributes=value...] [-v variable_list] [-V ] [-x] [-X] [-z] [script]

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我使用的是Ubuntu 16.04.4 LTS。

问题在于

qsub

是错误的：应该使用包含在中的，而不是在中使用的

---

请注意，如果使用一台计算机，那么通过它并没有多大好处

要在没有Sun Grid引擎的情况下对Kaldi进行普通语音训练，可以将

queue.pl

替换为

run.pl

：

## Retrieving Kaldi source code 
git clone https://github.com/kaldi-asr/kaldi.git
cd kaldi
export KALDI_GIT_ROOT=`pwd`
echo $KALDI_GIT_ROOT

## Compile Kaldi tools
cd $KALDI_GIT_ROOT/tools
sudo apt-get install -y  zlib1g-dev automake autoconf libtool libatlas3-base subversion 
make -j 24

## Compile Kaldi
cd $KALDI_GIT_ROOT/src
./configure
make -j 24

## Common Voice
cd $KALDI_GIT_ROOT/tools
sudo ./install_srilm.sh
# required by install_sequitur.sh
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
sudo python get-pip.py
sudo apt-get install -y swig python-setuptools python-dev
sudo pip install numpy
sudo ./extras/install_sequitur.sh
# For qsub
sudo apt-get install -y torque-server torque-client torque-mom torque-pam
# Start Kaldi training on Common Voice
sudo apt install sox libsox-fmt-mp3 # run.sh will convert Common Voice MP3s to WAV using sox
cd $KALDI_GIT_ROOT/egs/commonvoice/s5
source $KALDI_GIT_ROOT/tools/env.sh
./run.sh

sudo apt-get remove torque-server torque-client torque-mom torque-pam
sudo apt-get install gridengine-master gridengine-client gridengine-exec

export train_cmd="run.pl --mem 2G"
export decode_cmd="run.pl --mem 4G"
export mkgraph_cmd="run.pl --mem 8G"