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