init

filter_audio_s2t.py → filter_audio.py

@@ -9,9 +9,8 @@ import soundfile as sf
 from datasets import Audio
 
 # dataset config
+direction = os.getenv("DIRECTION", "enA-jpn")
 direction_speech = os.getenv("DIRECTION_SPEECH", "enA")
-direction_text = os.getenv("DIRECTION_TEXT", "jpn")
-direction = f"{direction_speech}-{direction_text}"
 cache_dir_audio = p_join("download", "audio", direction)
 cache_dir_feature = p_join("download", "feature", direction)
 cache_dir_audio_fixed = p_join("download", "audio_fixed", direction, direction_speech)
@@ -33,13 +32,10 @@ files = {
 }
 # feature files
 files_list = [k for k in files.keys() if line_no_start <= k <= line_no_end]
-with open(f"text.{direction}.json") as f:
-    line2text = {int(k): v for k, v in json.load(f).items()}
-text_list = [k for k in line2text.keys() if line_no_start <= k <= line_no_end]
 fixed_audio_list = [int(os.path.basename(i).replace(".mp3", "")) for i in glob(p_join(cache_dir_audio_fixed, "*"))]
 # remove broken audio files
 audio_loader = Audio()
-index_list = [i for i in list(range(line_no_start, line_no_end)) if i in files_list and i in text_list and i not in fixed_audio_list]
+index_list = [i for i in list(range(line_no_start, line_no_end)) if i in files_list and i not in fixed_audio_list]
 print(f"filtering {len(index_list)} files....")
 for i in tqdm(index_list):
     features = loader(files[i])

main.sh

@@ -82,125 +82,132 @@ python push_s2s_translation.py
 ######################
 # enA-jpn: 1_468_292 #
 ######################
-# AUDIO
+# DOWNLOAD AUDIO
 export DIRECTION="enA-jpn"
-
 export LINE_NO_START=0
 export LINE_NO_END=50000
 python download_audio.py
 
+export DIRECTION="enA-jpn"
 export LINE_NO_START=50000
 export LINE_NO_END=100000
 python download_audio.py
 
+export DIRECTION="enA-jpn"
 export LINE_NO_START=100000
 export LINE_NO_END=150000
 python download_audio.py
 
+export DIRECTION="enA-jpn"
 export LINE_NO_START=150000
 export LINE_NO_END=300000
 python download_audio.py
 
+export DIRECTION="enA-jpn"
 export LINE_NO_START=300000
 export LINE_NO_END=360000
 python download_audio.py
 
-# TEXT
-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}/build/bin/wet_lines"
-cd ../
-wget https://dl.fbaipublicfiles.com/seamless/data/seamless.dataset.metadata.public.enA-jpn.withduration.tsv.gz
-cp ../download_text.py ./
-python download_text.py
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_1.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_1.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_2.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_2.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_3.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_3.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_4.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_4.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_5.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_5.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_6.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_6.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_7.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_7.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_8.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_8.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_9.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_9.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_10.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_10.tsv
-cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_11.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_11.tsv
-cp ../format_text.py ./
-python format_text.py
-mv text.enA-jpn.json ../
-cd ../
 
+# FILTER AUDIO
 export DIRECTION="enA-jpn"
-
-export LINE_NO_START=50
-export LINE_NO_END=100
-
-
+export DIRECTION_SPEECH="enA"
 export LINE_NO_START=0
 export LINE_NO_END=25000
-export DATASET_ID="1"
-python filter_audio_s2t.py
+python filter_audio.py
 
+export DIRECTION="enA-jpn"
+export DIRECTION_SPEECH="enA"
 export LINE_NO_START=25000
 export LINE_NO_END=50000
-export DATASET_ID="2"
-python filter_audio_s2t.py
+python filter_audio.py
 
+export DIRECTION="enA-jpn"
+export DIRECTION_SPEECH="enA"
 export LINE_NO_START=50000
 export LINE_NO_END=75000
-export DATASET_ID="3"
-python filter_audio_s2t.py
+python filter_audio.py
 
+export DIRECTION="enA-jpn"
+export DIRECTION_SPEECH="enA"
 export LINE_NO_START=75000
 export LINE_NO_END=100000
-export DATASET_ID="4"
-python filter_audio_s2t.py
+python filter_audio.py
 
+export DIRECTION="enA-jpn"
+export DIRECTION_SPEECH="enA"
 export LINE_NO_START=100000
 export LINE_NO_END=125000
-export DATASET_ID="5"
-python filter_audio_s2t.py
+python filter_audio.py
 
+export DIRECTION="enA-jpn"
+export DIRECTION_SPEECH="enA"
 export LINE_NO_START=125000
 export LINE_NO_END=150000
-export DATASET_ID="6"
-python filter_audio_s2t.py
+python filter_audio.py
 
+export DIRECTION="enA-jpn"
+export DIRECTION_SPEECH="enA"
 export LINE_NO_START=150000
 export LINE_NO_END=175000
-export DATASET_ID="7"
-python filter_audio_s2t.py
+python filter_audio.py
 
+export DIRECTION="enA-jpn"
+export DIRECTION_SPEECH="enA"
 export LINE_NO_START=175000
 export LINE_NO_END=200000
-export DATASET_ID="8"
-python filter_audio_s2t.py
-
-
+python filter_audio.py
 
 
+export DIRECTION="enA-jpn"
+export DIRECTION_SPEECH="enA"
 export LINE_NO_START=200000
 export LINE_NO_END=225000
-export DATASET_ID="9"
-python filter_audio_s2t.py
+python filter_audio.py
 
+#
+#export LINE_NO_START=150000
+#export LINE_NO_END=300000
+#export DATASET_ID="0"
+#python push_s2t_translation.py
+#
+#
+#export LINE_NO_START=300000
+#export LINE_NO_END=360000
+#export DATASET_ID="0"
+#python push_s2t_translation.py
 
-export LINE_NO_START=150000
-export LINE_NO_END=300000
-export DATASET_ID="0"
-python push_s2t_translation.py
 
 
-export LINE_NO_START=300000
-export LINE_NO_END=360000
-export DATASET_ID="0"
-python push_s2t_translation.py
-
+# DOWNLOAD TEXT
+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}/build/bin/wet_lines"
+cd ../
+wget https://dl.fbaipublicfiles.com/seamless/data/seamless.dataset.metadata.public.enA-jpn.withduration.tsv.gz
+cp ../download_text.py ./
+python download_text.py
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_1.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_1.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_2.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_2.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_3.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_3.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_4.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_4.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_5.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_5.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_6.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_6.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_7.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_7.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_8.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_8.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_9.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_9.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_10.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_10.tsv
+cat seamless.dataset.metadata.public.enA-jpn.withduration.reordered.batch_11.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee seamless.dataset.metadata.public.jpn.batch_11.tsv
+cp ../format_text.py ./
+python format_text.py
+mv text.enA-jpn.json ../
+cd ../
 
 
 ########