init
Browse files- download_audio.py +1 -0
- main.sh +10 -62
download_audio.py
CHANGED
@@ -126,6 +126,7 @@ def get_audio(dataframe: pd.DataFrame):
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print(f"wav shape:{wav.shape}")
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if wav.ndim > 1:
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wav = wav[:, 0]
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if sr != sampling_rate:
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print(f"RESAMPLING: {wav.shape} length audio")
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if torch.cuda.is_available():
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print(f"wav shape:{wav.shape}")
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if wav.ndim > 1:
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wav = wav[:, 0]
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+
wav = wav[:int(end/sampling_rate * sr) + sr]
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if sr != sampling_rate:
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print(f"RESAMPLING: {wav.shape} length audio")
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if torch.cuda.is_available():
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main.sh
CHANGED
@@ -30,6 +30,8 @@ export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python download_audio.py
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export N_POOL=10
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export DATASET_ID=2
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export DIRECTION="enA-jaA"
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@@ -38,6 +40,8 @@ export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python download_audio.py
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export N_POOL=10
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export DATASET_ID=10
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export DIRECTION="enA-jaA"
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@@ -46,86 +50,30 @@ export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python download_audio.py
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-
for i in $(seq 1 10);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-jaA"
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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 ${LINE_NO_START}
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-
python download_audio.py &
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done
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export DATASET_ID=11
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export DIRECTION="enA-jaA"
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export LINE_NO_START=$(((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 download_audio.py
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for i in $(seq 11 20);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-jaA"
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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 download_audio.py &
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done
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-
for i in $(seq 21 30);
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do
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export N_POOL=50
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export DATASET_ID=${i}
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export DIRECTION="enA-jaA"
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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 download_audio.py
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done
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-
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for i in $(seq 31 40);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-jaA"
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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 download_audio.py &
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done
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-
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# kotoba-4
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for i in $(seq 41 50);
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do
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export N_POOL=10
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export DATASET_ID=${i}
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export DIRECTION="enA-jaA"
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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 ${LINE_NO_START}
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python download_audio.py
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done
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-
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export CUDA_VISIBLE_DEVICES=
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export N_POOL=1
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-
export DATASET_ID=
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export DIRECTION="enA-jaA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python download_audio.py
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-
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export N_POOL=
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export DATASET_ID=
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export DIRECTION="enA-jaA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python download_audio.py
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-
export
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export DATASET_ID=51
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export DIRECTION="enA-jaA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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echo ${LINE_NO_START}
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python download_audio.py
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+
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export CUDA_VISIBLE_DEVICES=0
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export N_POOL=10
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export DATASET_ID=2
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export DIRECTION="enA-jaA"
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echo ${LINE_NO_START}
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python download_audio.py
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+
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export CUDA_VISIBLE_DEVICES=1
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export N_POOL=10
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export DATASET_ID=10
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export DIRECTION="enA-jaA"
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echo ${LINE_NO_START}
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python download_audio.py
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export CUDA_VISIBLE_DEVICES=
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export N_POOL=1
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+
export DATASET_ID=41
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export DIRECTION="enA-jaA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python download_audio.py
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export CUDA_VISIBLE_DEVICES=0
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export N_POOL=20
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export DATASET_ID=42
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export DIRECTION="enA-jaA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python download_audio.py
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export CUDA_VISIBLE_DEVICES=0
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export N_POOL=20
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export DATASET_ID=51
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export DIRECTION="enA-jaA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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