init

download_audio.py

@@ -5,6 +5,8 @@ import zipfile
 import gzip
 import subprocess
 from os.path import join as p_join
+
+import torch
 from tqdm import tqdm
 from multiprocessing import Pool
 from typing import Optional, Dict
@@ -110,7 +112,7 @@ def get_audio(dataframe: pd.DataFrame):
                 try:
                     wav = audio_loader.decode_example({"path": features[f"{side}.path"], "bytes": None})
                     if wav["sampling_rate"] != sampling_rate:
-                        wav["array"] = julius.resample_frac(wav["array"], wav["sampling_rate"], sampling_rate)
+                        wav["array"] = julius.resample_frac(torch.as_tensor(wav["array"]), wav["sampling_rate"], sampling_rate)
                         wav["sampling_rate"] = sampling_rate
                     if start < end < len(wav["array"]):
                         sf.write(features[f"{side}.path"], wav["array"][start:end], wav["sampling_rate"])

main.sh

@@ -1,100 +1,12 @@
 ####################
 # enA-jaA: 718_606 #
 ####################
-# TODO: 4, 6, 24, 25, 26
-export N_POOL=1
-
-export DATASET_ID=26
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-export DATASET_ID=6
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-export DATASET_ID=9
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-export DATASET_ID=12
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-export DATASET_ID=14
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-export DATASET_ID=16
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-
-export DATASET_ID=18
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-
-export DATASET_ID=20
+export DATASET_ID=1
 export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
+export LINE_NO_START=$(((DATASET_ID-1) * 2500))
+export LINE_NO_END=$((DATASET_ID * 2500))
 python download_audio.py
 
-export DATASET_ID=21
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-export DATASET_ID=22
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-export DATASET_ID=24
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-export DATASET_ID=25
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-export DATASET_ID=26
-export DIRECTION="enA-jaA"
-export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-export LINE_NO_END=$((DATASET_ID * 5000))
-python download_audio.py
-
-
-for i in $(seq 50 54);
-do
-  export DATASET_ID=${i}
-  export DIRECTION="enA-jaA"
-  export LINE_NO_START=$(((DATASET_ID-1) * 5000))
-  export LINE_NO_END=$((DATASET_ID * 5000
-  echo ${LINE_NO_START}
-  python download_audio.py &
-done
-
 for i in $(seq 55 59);
 do
   export DATASET_ID=${i}

requirements.txt

@@ -2,4 +2,5 @@ datasets
 soundfile
 librosa
 requests
-pandas
+pandas
+julius