def gen_audio_stim(MatrixDir, OutDir, indexes):
if os.path.exists(OutDir):
shutil.rmtree(OutDir)
os.makedirs(OutDir)
wavFiles = globDir(MatrixDir, '*.wav')
wavFileMatrix = organiseWavs(wavFiles)
wavDir = os.path.join(OutDir, "wav")
dir_must_exist(wavDir)
wavDir = os.path.join(wavDir, "noise-sentences")
dir_must_exist(wavDir)
files = []
n = 0
o = 0
for sentenceList in indexes:
n += 1
o = 0
files.append([])
for ind in sentenceList:
o += 1
y, wavInfo, partnames = synthesize_trial(wavFileMatrix, ind)
fileName = os.path.join(wavDir,
'Trial_{0:02d}_{1:02d}.wav'.format(n, o))
print("Generating: " + fileName)
sndio.write(fileName, y, **wavInfo)
files[-1].append(fileName)
return files
def generateAudioStimulus(MatrixDir, OutDir, Length, indexes, socketio=None):
# Get matrix wav file paths
wavFiles = globDir(MatrixDir, '*.wav')
wavFileMatrix = organiseWavs(wavFiles)
with open(os.path.join(OutDir, 'stim_parts.csv'), 'w') as csvfile:
partwriter = csv.writer(csvfile)
# Synthesize audio for each trial using generated word choices
l = 0
n = 0
files = []
while l < Length:
if socketio:
percent = (l / Length) * 100.
socketio.emit('update-progress',
{'data': '{}%'.format(percent)},
namespace='/main')
#print("Generating Trial_{0:05d}".format(n))
y, wavInfo, partnames = synthesizeTrial(wavFileMatrix,
indexes[n, :])
partwriter.writerow(partnames)
fileName = os.path.join(OutDir, 'Trial_{0:05d}.wav'.format(n))
pysndfile.sndio.write(fileName, y, **wavInfo)
n += 1
l += y.size / wavInfo['rate']
files.append(fileName)
return files
def generate_audio_stimulus(MatrixDir, OutDir, indexes, socketio=None):
# Get matrix wav file paths
wavFiles = globDir(MatrixDir, '*.wav')
wavFileMatrix = organiseWavs(wavFiles)
wav_dir = os.path.join(args['OutDir'], "wav")
dir_must_exist(wav_dir)
sentence_dir = os.path.join(wav_dir, "sentence-lists")
dir_must_exist(sentence_dir)
# Synthesize audio for each trial using generated word choices
sentence_lists = {}
for key in indexes.keys():
files = []
list_dir = os.path.join(sentence_dir, key)
dir_must_exist(list_dir)
with open(os.path.join(list_dir, 'stim_parts.csv'), 'w') as csvfile:
partwriter = csv.writer(csvfile)
inds, strings = indexes[key]
for sentence_ind, (component_inds, component_strings) in enumerate(
zip(inds, strings)):
if socketio:
percent = (l / Length) * 100.
socketio.emit('update-progress',
{'data': '{}%'.format(percent)},
namespace='/main')
y, wavInfo, partnames = synthesize_trial(
wavFileMatrix, component_inds)
partwriter.writerow(component_strings)
file_name = os.path.join(
list_dir, 'Trial_{0:05d}.wav'.format(sentence_ind + 1))
sndio.write(file_name, y, **wavInfo)
files.append(file_name)
sentence_lists[key] = np.array(files)
return sentence_lists
def gen2(MatrixDir, OutDir, indexes):
wavFiles = globDir(MatrixDir, '*.wav')
wavFileMatrix = organiseWavs(wavFiles)
files = []
for sentenceList in indexes:
for ind in sentenceList:
y, wavInfo, partnames = synthesizeTrial(wavFileMatrix, ind)