Question

您好我正在尝试在Ubuntu 16.04上安装用于语音识别的Kaldi工具包。我已按照INSTALL文件中的说明进行操作。

（1）转到工具/并按照那里的INSTALL说明进行操作。

在工具中的INSTALL文件中执行以下过程并获得以下输出，

$ extras / check_dependencies.sh

../tools/extras/check_dependencies.sh: all OK.

并执行make没有任何错误。如果你想看一下，这里是最后几行

$ make

rm -f openfst
ln -s openfst-1.6.1 openfst

Warning: IRSTLM is not installed by default anymore. If you need IRSTLM
Warning: use the script extras/install_irstlm.sh
All done OK.

现在我转到下一步

（2）转到src /并按照那里的INSTALL说明进行操作。

在src文件夹中，执行configure并输出以下内容

$ ./configure

Configuring ... Backing up kaldi.mk to kaldi.mk.bak ... Checking compiler g++-4.9 ... Checking OpenFst library in /home/xxx/Downloads/kaldi/tools/openfst ... Doing OS specific configurations ... On Linux: Checking for linear algebra header files ... Using ATLAS as the linear algebra library. Successfully configured for Debian/Ubuntu Linux [dynamic libraries] with ATLASLIBS =/usr/lib/libatlas.so.3 /usr/lib/libf77blas.so.3 /usr/lib/libcblas.so.3 /usr/lib/liblapack_atlas.so.3 CUDA will not be used! If you have already installed cuda drivers and cuda toolkit, try using --cudatk-dir=... option. Note: this is only relevant for neural net experiments Info: configuring Kaldi not to link with Speex (don't worry, it's only needed if you intend to use 'compress-uncompress-speex', which is very unlikely) SUCCESS To compile: make clean -j; make depend -j; make -j ... or e.g. -j 10, instead of -j, to use a specified number of CPUs debug mode enabled... + exit 0

$ make depend也执行没有任何错误。但是当我执行make时，我得到了以下错误（我没有复制所有内容，因为它很长，如果有人想要我可以发布完整输出）

$ make

make[2]: Entering directory '/home/srinivas/Downloads/kaldi/src/online2'
make[2]: Nothing to be done for 'all'.
make[2]: Leaving directory '/home/srinivas/Downloads/kaldi/src/online2'
make -C bin
make[2]: Entering directory '/home/srinivas/Downloads/kaldi/src/bin'
g++-4.9  -Wl,-rpath=/home/srinivas/Downloads/kaldi/tools/openfst/lib -rdynamic  align-equal.o ../decoder/kaldi-decoder.a ../lat/kaldi-lat.a ../lm/kaldi-lm.a ../fstext/kaldi-fstext.a ../hmm/kaldi-hmm.a ../transform/kaldi-transform.a ../gmm/kaldi-gmm.a ../tree/kaldi-tree.a ../util/kaldi-util.a ../thread/kaldi-thread.a ../matrix/kaldi-matrix.a ../base/kaldi-base.a   /home/srinivas/Downloads/kaldi/tools/openfst/lib/libfst.so /usr/lib/libatlas.so.3 /usr/lib/libf77blas.so.3 /usr/lib/libcblas.so.3 /usr/lib/liblapack_atlas.so.3 -lm -lpthread -ldl -o align-equal
align-equal.o: In function `fst::internal::FstImpl<fst::ArcTpl<fst::TropicalWeightTpl<float> > >::WriteFstHeader(fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl<float> > > const&, std::ostream&, fst::FstWriteOptions const&, int, std::string const&, unsigned long, fst::FstHeader*)':
/home/srinivas/Downloads/kaldi/tools/openfst/include/fst/fst.h:745: undefined reference to `fst::FstHeader::Write(std::ostream&, std::string const&) const'
../decoder/kaldi-decoder.a(training-graph-compiler.o): In function `fst::internal::FstImpl<fst::ReverseArc<fst::ArcTpl<fst::TropicalWeightTpl<float> > > >::WriteFstHeader(fst::Fst<fst::ReverseArc<fst::ArcTpl<fst::TropicalWeightTpl<float> > > > const&, std::ostream&, fst::FstWriteOptions const&, int, std::string const&, unsigned long, fst::FstHeader*)':
/home/srinivas/Downloads/kaldi/tools/openfst/include/fst/fst.h:745: undefined reference to `fst::FstHeader::Write(std::ostream&, std::string const&) const'
../decoder/kaldi-decoder.a(training-graph-compiler.o): In function `fst::internal::FstImpl<fst::ArcTpl<fst::LogWeightTpl<float> > >::WriteFstHeader(fst::Fst<fst::ArcTpl<fst::LogWeightTpl<float> > > const&, std::ostream&, fst::FstWriteOptions const&, int, std::string const&, unsigned long, fst::FstHeader*)':
/home/srinivas/Downloads/kaldi/tools/openfst/include/fst/fst.h:745: undefined reference to `fst::FstHeader::Write(std::ostream&, std::string const&) const'
../fstext/kaldi-fstext.a(kaldi-fst-io.o): In function `fst::ReadFstKaldi(std::string)':
/home/srinivas/Downloads/kaldi/src/fstext/kaldi-fst-io.cc:34: undefined reference to `fst::FstHeader::Read(std::istream&, std::string const&, bool)'
/home/srinivas/Downloads/kaldi/src/fstext/kaldi-fst-io.cc:37: undefined reference to `fst::FstReadOptions::FstReadOptions(std::string const&, fst::FstHeader const*, fst::SymbolTable const*, fst::SymbolTable const*)'
../fstext/kaldi-fstext.a(kaldi-fst-io.o): In function `fst::internal::FstImpl<fst::ArcTpl<fst::TropicalWeightTpl<float> > >::ReadHeader(std::istream&, fst::FstReadOptions const&, int, fst::FstHeader*)':
/home/srinivas/Downloads/kaldi/tools/openfst/include/fst/fst.h:796: undefined reference to `fst::FstHeader::Read(std::istream&, std::string const&, bool)'
collect2: error: ld returned 1 exit status
<builtin>: recipe for target 'align-equal' failed
make[2]: *** [align-equal] Error 1
make[2]: Leaving directory '/home/srinivas/Downloads/kaldi/src/bin'
Makefile:142: recipe for target 'bin' failed
make[1]: *** [bin] Error 2
make[1]: Leaving directory '/home/srinivas/Downloads/kaldi/src'
Makefile:35: recipe for target 'all' failed
make: *** [all] Error 2

我甚至手动搜索了库，它们存在于../tools/openfst位置。我甚至尝试过openfst的系统安装，但没有任何效果。任何帮助都会得到满足。谢谢！

Answer 1

SRINIVAS

我也在使用ubuntu 16.04 LTS，我建议你看看这个网站并按照一步一步的程序。我认为它会解决你的问题。

http://jrmeyer.github.io/kaldi/2016/01/26/Installing-Kaldi.html

Answer 2

我用g ++ - 5解决了它。默认情况下，Ubuntu 16.04使用g ++ - 5作为预安装的软件包，当我尝试使用g ++ - 4.9编译Kaldi并链接使用g ++ - 5的Ubuntu软件包时，链接器会导致未定义的引用。我也面临着与其他图书馆类似的问题

Answer 3

要解决任何此类错误，我始终遵循以下步骤：

使用 g ++ - 4.8 编译kaldi源代码。
为配置命令 添加共享标志，例如。 CXX = g ++ - 4.8 ./configure --shared
在进入src目录之前，还要依赖 。 sudo make depend CXX = g ++ - 4.8
在制作过程中使用root权限，并将 g ++ - 4.8 指令添加到您的命令中，例如 sudo make CXX = g ++ - 4.8
之后使用 sudo编译在线扩展，使用ext CXX = g ++ - 4.8

希望这能解决你的问题。

Answer 4

你确实可以使用g ++ - 5来编译kaldi。它不会支持cuda，因为ubuntu 16.04附带的cuda 7.5与gcc 5不兼容。

在ubuntu 16.04的支持下构建CUDA：

sudo apt-get install nvidia-cuda-dev nvidia-cuda-toolkit libcupti-dev g++-4.8
cd tools; make CXX=g++-4.8
cd src; CXX=g++-4.8  ./configure --shared && make-j8

Ubuntu 16.04上的Kaldi工具包安装错误

4 个答案: