Indispensable Installation

This blog is about running pre-trained Spanish model using Montreal Force Aligner.In this tutorial I will be using Ubuntu 16.04lts.Let’s get started. Download Kaldi. Link :-Github Compile Kaldi :- More information about compiling Kaldi is given in tools and src directory under the green icon named “INSTALL”. First follow instruction in tools section and then under src section. First step is to check dependencies. Command >

extras/check_dependencies.sh

[“ kranti@kranti: ~/kaldi/tools

kranti@kranti:~/kaldi/toolg$ extras/check_dependencies.sh
extras/check_dependencies.sh: all OK.
kranti@kranti:~/kaldi/t001$$ I

Such message should be printed out.This script checks extra dependencies needed for kaldi.If your system default C++ compiler is not supported, you can do the check with another compiler by setting the CXX environment variable, e.g.

CXX=g++-4.8 extras/check_dependencies.sh

Then run Command >

        make

This command installs various libraries to support kaldi features such as ATLAS ,openfst,SCTK,sph2pipe and CLAPACK headers. If your system default compiler does not have adequate support for C++11, you can specify a C+11 compliant compiler as a command argument, e.g.

make CXX=g++-4.8

If you have multiple CPUs and want to speed things up, you can do a parallel build by supplying the “-j” option to make, e.g. to use 4 CPUs

make -j 4

Look you should be in tools directory in kaldi. Now change your working directory to src The installation instructions are

./configure --shared
make depend -j 8
make -j 8

Note that we added the “-j 8” to run in parallel because “make” takes a long time. 8 jobs might be too many for a laptop or small desktop machine with not many cores. For any further information visit Kaldi and head straight to “The build process (how Kaldi is compiled)”. With all this processes done.We have completed process of compiling Kaldi. We would align using pre-trained models available on Montreal Force Aligner Download source code from github.