# get sync file
syncloc = os.path.join(datadir, testsubj, testcase,
testcase + '.bpr.sync.txt')
if not os.path.isfile(syncloc):
continue
try:
utt_frametimes = audo.get_datadf_2der(bpr, au, syncloc, maxhz=270)
except IndexError:
continue
except struct.error as err:
print(err)
continue
windowlen = 0.075
utt_frametimes = audo.syncmatch(utt_frametimes,
windowlen=windowlen,
offset=0)
utt_frametimes = audo.get_corr_pos(utt_frametimes, tg)
# get r and p for acceleration
rs = []
ps = []
acc_df = None
acc_df = utt_frametimes[np.isfinite(utt_frametimes['us_acc'])]
# print(acc_df.head())`
starttimes = [
t for t in acc_df['time'] if t + windowlen < np.max(acc_df['time'])
]
for starttime in starttimes:
subdf = acc_df[(acc_df['time'] >= starttime - windowlen / 2)
& (acc_df['time'] <= starttime + windowlen / 2)]
sts = stats.linregress(x=subdf['us_acc'], y=subdf['au_acc'])
au,
syncloc,
maxhz=270)
#print(utt_frametimes_base.head())
except IndexError:
continue
except struct.error as err:
print(err)
continue
windowlens = [.150, .175, .200, .225]
for win in windowlens:
print(win)
offsets = [0, 0.05, 0.1, 0.15]
for ofs in offsets:
utt_frametimes = audo.syncmatch(utt_frametimes_base,
windowlen=win,
offset=ofs)
utt_frametimes = audo.get_corr_pos(utt_frametimes, tg)
nutts = len(utt_frametimes.index)
windowlength = [win] * nutts
subject = [testsubj] * nutts
offset = [ofs] * nutts
utt_frametimes = pd.concat([
utt_frametimes,
pd.DataFrame({'windowlength': windowlength})
],
ignore_index=False,
axis=1)
utt_frametimes = pd.concat(
[utt_frametimes,
pd.DataFrame({'subject': subject})],