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Yu 2015-04-15 21:24:08 -04:00
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README
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== Author of the README == == Author of the README ==
Wengong Jin, Wengong Jin,
Shanghai Jiao Tong University Shanghai Jiao Tong University
email: acmgokun@gmail.com email: acmgokun@gmail.com
Hakan Erdogan Hakan Erdogan
MERL, Sabanci University MERL, Sabanci University
email: haerdogan@sabanciuniv.edu email: haerdogan@sabanciuniv.edu
Yu Zhang, Leo Liu Yu Zhang, Leo Liu
CSAIL, Massachusetts Institute of Technology CSAIL, Massachusetts Institute of Technology
email: yzhang87@csail.mit.edu
email: leoliu_cu@sbcglobal.net
== Preeliminaries == == Preeliminaries ==
To build the cpu version, you have to install intel MKL blas library or ACML library first. Note that ACML is free, where MKL may not be. To build the cpu version, you have to install intel MKL blas library or ACML library first. Note that ACML is free, where MKL may not be.
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To run the executable, make sure bin/ is in your ${LD_LIBRARY_PATH}, if not, running cn.exe will fail when cn.exe tries to link the corresponding reader. Once it's done, run in command line: To run the executable, make sure bin/ is in your ${LD_LIBRARY_PATH}, if not, running cn.exe will fail when cn.exe tries to link the corresponding reader. Once it's done, run in command line:
./cn.exe configFile=${your config file} ./cn.exe configFile=${your config file}
== Kaldi Reader == == Kaldi Reader ==
This is a HTKMLF reader and kaldi writer (for decode)
To build the cpu/gpu version, run
make -f Makefile_kaldi.cpu/gpu
The feature section is like:
writer=[
writerType=KaldiReader
readMethod=blockRandomize
frameMode=false
miniBatchMode=Partial
randomize=Auto
verbosity=1
ScaledLogLikelihood=[
dim=$labelDim$
Kaldicmd="ark:-" # will pipe to the Kaldi decoder latgen-faster-mapped
scpFile=$outputSCP$ # the file key of the features
]
]
== Kaldi2 Reader ==
This is a kaldi reader and kaldi writer (for decode)
To build the cpu/gpu version, run
make -f Makefile_kaldi2.cpu/gpu
The features section is different: The features section is different: