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experiment-process-seamless-align

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experiment-process-seamless-align
File size: 3,554 Bytes 
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####################
# enA-jaA: 718_606 #
####################
export DIRECTION="enA-jaA"

export LINE_NO_START=0
export LINE_NO_END=50000
python download_audio.py

export LINE_NO_START=50000
export LINE_NO_END=100000
python download_audio.py

export LINE_NO_START=100000
export LINE_NO_END=150000
python download_audio.py

export LINE_NO_START=150000
export LINE_NO_END=300000
python download_audio.py

export LINE_NO_START=300000
export LINE_NO_END=360000
python download_audio.py



# server 2
export LINE_NO_START=150000
export LINE_NO_END=180000
python download_audio.py

export LINE_NO_START=180000
export LINE_NO_END=210000
python download_audio.py

export LINE_NO_START=210000
export LINE_NO_END=240000
python download_audio.py

export LINE_NO_START=240000
export LINE_NO_END=270000
python download_audio.py

export LINE_NO_START=270000
export LINE_NO_END=300000
python download_audio.py

# server 3
export LINE_NO_START=300000
export LINE_NO_END=330000
python download_audio.py

export LINE_NO_START=330000
export LINE_NO_END=360000
python download_audio.py


####################
# enA-jpn: 718_606 #
####################

git clone https://github.com/kpu/preprocess
cd preprocess
git checkout wet
git submodule update --init --recursive
mkdir build
cd build
cmake ..
make -j4
alias wet_lines="${PWD}/preprocess/build/bin/wet_lines"
wget https://dl.fbaipublicfiles.com/seamless/data/seamless.dataset.metadata.public.enA-jpn.withduration.tsv.gz
zcat seamless.dataset.metadata.public.enA-jpn.withduration.tsv.gz | egrep ^crawl-data | tr '\t' ' ' | wet_lines


export DIRECTION="enA-jpn"

export LINE_NO_START=0
export LINE_NO_END=30000
python download_audio.py

export LINE_NO_START=30000
export LINE_NO_END=60000
python download_audio.py

export LINE_NO_START=60000
export LINE_NO_END=90000
python download_audio.py

export LINE_NO_START=90000
export LINE_NO_END=120000
python download_audio.py

export LINE_NO_START=120000
export LINE_NO_END=150000
python download_audio.py

# server 2
export LINE_NO_START=150000
export LINE_NO_END=180000
python download_audio.py

export LINE_NO_START=180000
export LINE_NO_END=210000
python download_audio.py

export LINE_NO_START=210000
export LINE_NO_END=240000
python download_audio.py

export LINE_NO_START=240000
export LINE_NO_END=270000
python download_audio.py

export LINE_NO_START=270000
export LINE_NO_END=300000
python download_audio.py

# server 3
export LINE_NO_START=300000
export LINE_NO_END=330000
python download_audio.py

export LINE_NO_START=330000
export LINE_NO_END=360000
python download_audio.py




export LINE_NO_START=360000
export LINE_NO_END=390000
python download_audio.py

export LINE_NO_START=390000
export LINE_NO_END=420000
python download_audio.py

export LINE_NO_START=420000
export LINE_NO_END=450000
python download_audio.py

# server 4
export LINE_NO_START=450000
export LINE_NO_END=480000
python download_audio.py

export LINE_NO_START=480000
export LINE_NO_END=510000
python download_audio.py

export LINE_NO_START=510000
export LINE_NO_END=540000
python download_audio.py

export LINE_NO_START=540000
export LINE_NO_END=570000
python download_audio.py

export LINE_NO_START=570000
export LINE_NO_END=600000
python download_audio.py


# server 5
export LINE_NO_START=600000
export LINE_NO_END=630000
python download_audio.py

export LINE_NO_START=630000
export LINE_NO_END=660000
python download_audio.py

export LINE_NO_START=660000
export LINE_NO_END=690000
python download_audio.py

export LINE_NO_START=690000
export LINE_NO_END=720000
python download_audio.py