init
Browse files- fetch_dataset_s2t.py +1 -1
- main_s2t.sh +4 -4
fetch_dataset_s2t.py
CHANGED
@@ -10,7 +10,6 @@ from tqdm import tqdm
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from multiprocessing import Pool
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from typing import Optional, Dict
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from glob import glob
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-
# import librosa
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import pandas as pd
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import soundfile as sf
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@@ -108,6 +107,7 @@ def cleanup(features, feature_file):
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def get_audio(dataframe: pd.DataFrame):
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features = {"line_no": int(dataframe.pop('line_no').values[0])}
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if str(features["line_no"]) not in line_no_to_text:
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return None
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from multiprocessing import Pool
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from typing import Optional, Dict
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from glob import glob
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import pandas as pd
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import soundfile as sf
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def get_audio(dataframe: pd.DataFrame):
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+
dataframe.pop("side")
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features = {"line_no": int(dataframe.pop('line_no').values[0])}
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if str(features["line_no"]) not in line_no_to_text:
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return None
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main_s2t.sh
CHANGED
@@ -31,18 +31,18 @@ export DIRECTION_TEXT="jpn"
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export LINE_NO_START=0
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export LINE_NO_END=10
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python fetch_dataset_s2t.py
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#
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for i in $(seq
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2t.py
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done
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-
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# text
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export DIRECTION_SPEECH="enA"
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export DIRECTION_TEXT="jpn"
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export LINE_NO_START=0
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export LINE_NO_END=10
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python fetch_dataset_s2t.py
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# audio
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for i in $(seq 1 60);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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export DIRECTION_SPEECH="enA"
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export DIRECTION_TEXT="jpn"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2t.py
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done
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# text
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export DIRECTION_SPEECH="enA"
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export DIRECTION_TEXT="jpn"
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