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outputted files as part of cleaning process
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file = '' --> removed file, file = 'alskjfd.wav' (renamed file), file = ['hi.wav','two.wav', ... ] = many files created.
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@jim-schwoebel
jim-schwoebel authored Aug 7, 2020
1 parent 7a11fd3 commit f36f7c1
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59 changes: 31 additions & 28 deletions cleaning/audio_cleaning/clean.py
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'''
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Expand All @@ -22,15 +22,15 @@
| | | |/ _ \/ _` | '_ \| | '_ \ / _` | | _ || __/ | |
| \__/\ | __/ (_| | | | | | | | | (_| | | | | || | _| |_ _
\____/_|\___|\__,_|_| |_|_|_| |_|\__, | \_| |_/\_| \___/ (_)
__/ |
|___/
__/ |
|___/
___ _ _
/ _ \ | (_)
/ /_\ \_ _ __| |_ ___
| _ | | | |/ _` | |/ _ \
| | | | |_| | (_| | | (_) |
\_| |_/\__,_|\__,_|_|\___/
This section of Allie's API cleans folders of audio files
using the default_audio_cleaners.
Expand Down Expand Up @@ -250,31 +250,34 @@ def audio_clean(cleaning_set, audiofile, basedir):

# long conditional on all the types of features that can happen and featurizes accordingly.
if cleaning_set == 'clean_getfirst3secs':
clean_getfirst3secs.clean_getfirst3secs(audiofile)
audiofile=clean_getfirst3secs.clean_getfirst3secs(audiofile)
elif cleaning_set == 'clean_mono16hz':
clean_mono16hz.clean_mono16hz(audiofile)
audiofile=clean_mono16hz.clean_mono16hz(audiofile)
elif cleaning_set == 'clean_towav':
clean_towav.clean_towav(audiofile)
audiofile=clean_towav.clean_towav(audiofile)
elif cleaning_set == 'clean_keyword':
clean_keyword.clean_keyword(audiofile,'coconut')
audiofile=clean_keyword.clean_keyword(audiofile,'coconut')
elif cleaning_set == 'clean_multispeaker':
modeldir=basedir+'/helpers'
clean_multispeaker.clean_multispeaker(audiofile,modeldir)
audiofile=clean_multispeaker.clean_multispeaker(audiofile,modeldir)
elif cleaning_set == 'clean_normalizevolume':
clean_normalizevolume.clean_normalizevolume(audiofile)
audiofile=clean_normalizevolume.clean_normalizevolume(audiofile)
elif cleaning_set == 'clean_opus':
clean_opus.clean_opus(audiofile,basedir+'/helpers/opustools/')
audiofile=clean_opus.clean_opus(audiofile,basedir+'/helpers/opustools/')
elif cleaning_set == 'clean_randomsplice':
clean_randomsplice.clean_randomsplice(audiofile,20)
audiofile=clean_randomsplice.clean_randomsplice(audiofile,20)
elif cleaning_set == 'clean_removenoise':
clean_removenoise.clean_removenoise(audiofile)
audiofile=clean_removenoise.clean_removenoise(audiofile)
elif cleaning_set == 'clean_removesilence':
clean_removesilence.clean_removesilence(audiofile)
audiofile=clean_removesilence.clean_removesilence(audiofile)
elif cleaning_set == 'clean_rename':
clean_rename.clean_rename(audiofile)
audiofile=clean_rename.clean_rename(audiofile)
elif cleaning_set == 'clean_utterances':
clean_utterances.clean_utterances(audiofile)
audiofile=clean_utterances.clean_utterances(audiofile)
print(os.getcwd())
time.sleep(5)
# transcripts = can look for hotwords and remove
return audiofile

################################################
## Load main settings ##
Expand Down Expand Up @@ -402,4 +405,4 @@ def audio_clean(cleaning_set, audiofile, basedir):
filename=listdir[i]
for j in range(len(cleaning_sets)):
cleaning_set=cleaning_sets[j]
audio_clean(cleaning_set, filename, basedir)
filename=audio_clean(cleaning_set, filename, basedir)
31 changes: 16 additions & 15 deletions cleaning/audio_cleaning/clean_getfirst3secs.py
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'''
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Expand All @@ -22,15 +22,15 @@
| | | |/ _ \/ _` | '_ \| | '_ \ / _` | | _ || __/ | |
| \__/\ | __/ (_| | | | | | | | | (_| | | | | || | _| |_ _
\____/_|\___|\__,_|_| |_|_|_| |_|\__, | \_| |_/\_| \___/ (_)
__/ |
|___/
__/ |
|___/
___ _ _
/ _ \ | (_)
/ /_\ \_ _ __| |_ ___
| _ | | | |/ _` | |/ _ \
| | | | |_| | (_| | | (_) |
\_| |_/\__,_|\__,_|_|\___/
This cleaning script gets the first three seconds of an audio file
and deletes the source audio.
Expand All @@ -45,3 +45,4 @@ def clean_getfirst3secs(audiofile):
os.remove(audiofile)
data2=data[0:samplerate*3]
sf.write(audiofile,data2, samplerate)
return audiofile
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