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Datasets:
daniel-dona
/
openslr-slr67

Tasks:
Automatic Speech Recognition
Modalities:
Audio
Text
Formats:
parquet
Languages:
Spanish
Size:
10K - 100K
Libraries:
Datasets
Dask
Dataset card Viewer Files Community
2
daniel-dona commited on
Commit
21dc725
•
1 Parent(s): bda87f7

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  1. convert.py +37 -0
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convert.py ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import os
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+ import csv
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+ import tqdm
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+ import ffmpeg
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+ import hashlib
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+
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+ # This script was used to encode and organize the files from the original dataset https://www.openslr.org/67/
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+
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+ # Each file is renamed using the sha256 sum of the content and encoded using OPUS codec
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+
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+ transcriptions_file = "./files/TEDx_Spanish.transcription"
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+ audio_dir = "./speech"
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+ output_dir = "./cuts"
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+
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+ lines = open(transcriptions_file).readlines()
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+
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+ transcriptions = [ [line.split("TEDX_")[0], "TEDX_"+line.split("TEDX_")[1].replace("\n", "")] for line in lines]
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+ transcriptions = {k:v for v,k in transcriptions}
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+
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+ output = []
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+
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+
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+ for filename in tqdm.tqdm(list(os.scandir(audio_dir))):
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+
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+ if filename.name.endswith(".wav"):
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+
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+ if filename.name.replace(".wav", "") in transcriptions:
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+
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+ digest = hashlib.sha256(open(filename.path, 'rb').read()).hexdigest()
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+ ffmpeg.input(filename.path).output(f"{output_dir}/{digest}.opus").overwrite_output().run(quiet=True)
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+ output.append([f"{digest}.opus", ffmpeg.probe(filename.path)['streams'][0]['duration'] , transcriptions[filename.name.replace(".wav", "")]])
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+
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+
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+ with open('output.csv', 'w', newline='') as csvfile:
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+
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+ csv_writer = csv.writer(csvfile,delimiter='\t')
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+ csv_writer.writerows(output)
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