def gen_audio(is_clean, params, index, audio_samples_length=-1):
'''Calls build_audio() to get an audio signal, and verify that it meets the
activity threshold'''
clipped_files = []
low_activity_files = []
if audio_samples_length == -1:
audio_samples_length = int(params['audio_length']*params['fs'])
if is_clean:
activity_threshold = params['clean_activity_threshold']
else:
activity_threshold = params['noise_activity_threshold']
while True:
audio, source_files, new_clipped_files, index = \
build_audio(is_clean, params, index, audio_samples_length)
clipped_files += new_clipped_files
if len(audio) < audio_samples_length:
continue
if activity_threshold == 0.0:
break
percactive = activitydetector(audio=audio)
if percactive > activity_threshold:
break
else:
low_activity_files += source_files
return audio, source_files, clipped_files, low_activity_files, index
def gen_audio3(is_clean, params, spk_index, audio_samples_length=-1):
'''Calls build_audio() to get an Primary speaker audio signal [ensure one unique speaker, track
spk ids], and verify that it meets the activity threshold'''
# clipped_files = []
low_activity_files = []
if audio_samples_length == -1:
audio_samples_length = int(params['audio_length'] * params['fs'])
if is_clean:
activity_threshold = params['clean_activity_threshold']
else:
activity_threshold = params['noise_activity_threshold']
#for spk_index in range(0,len(params['cleanfilenames'])):
audios_all, files_used, clipped_files = build_audio3(
is_clean, params, spk_index)
chosen_audio = []
for audio in audios_all:
percactive = activitydetector(audio=audio)
if activity_threshold == 0.0 or percactive > activity_threshold:
chosen_audio.append(audio)
return chosen_audio
