.gitmodules

@@ -13,3 +13,6 @@
 [submodule "src/bodycontact"]
 	path = src/bodycontact
 	url = https://github.com/psychoinformatics-de/studyforrest-paper-bodycontactannotation.git
+[submodule "src/voice"]
+	path = src/voice
+	url = /home/chris/psyinfo/forrest_gump/anno_speech

code/importer/locations.py

@@ -17,5 +17,6 @@ df.insert(1, 'duration', shot_durations)
 
 df.to_csv(
     opj('researchcut', 'locations.tsv'),
+    index=False,
     sep='\t',
-    index=False)
+    float_format='%.3f')

code/importer/speech_narrator.py

@@ -0,0 +1,29 @@
+#!/usr/bin/python
+'''
+'''
+from os.path import join as opj
+import pandas as pd
+
+# read the annotation
+# TO DO: skiprows flagged with '???' here already?
+df = pd.read_csv(opj('src', 'voice', 'speech_narrator.csv'))
+
+# # drop rows with whole sentences as flagged with '???' in column 1
+df = df.loc[df.iloc[:,1] != '???']
+# reset index
+# df.index = range(0, len(df))
+
+# convert the cleaned columns to float64
+df.iloc[:, 0:2] = df.iloc[:, 0:2].astype('float64')
+
+# replace column 1 (end) with duration (end - start)
+df.iloc[:,1] = df.iloc[:,1] - df.iloc[:,0]
+
+# apply BIDS standard column names
+df.rename(columns=dict(start='onset', end='duration'), inplace=True)
+
+df.to_csv(
+    opj('researchcut', 'speech_narrator.tsv'),
+    index=False,
+    sep='\t',
+    float_format='%.3f')

code/importer/speech_vocalization.py

@@ -0,0 +1,48 @@
+#!/usr/bin/python
+'''
+'''
+from os.path import join as opj
+import pandas as pd
+
+
+def time_stamp_to_sec(t_stamp='01:50:34:01'):
+    '''
+    Input:
+        time stamp (str) in format HH:MM:SS:Frame
+
+    Output:
+        time point in seconds (float)
+    '''
+    splitted_stamp = t_stamp.split(':')
+    milliseconds = (int(splitted_stamp[0]) * 60 * 60 * 1000) +\
+                        (int(splitted_stamp[1]) * 60 * 1000) +\
+                        (int(splitted_stamp[2]) * 1000) +\
+                        (int(splitted_stamp[3]) * 40)
+
+    seconds = milliseconds / 1000.0
+
+    return seconds
+
+
+# read the annotation
+df = pd.read_csv(opj('src', 'voice', 'speech_vocalization.csv'))
+
+# filter for rows that contain an #-flag indicating missing timing
+df = df.loc[df.iloc[:, 0].str.contains('#') == False]
+df = df.loc[df.iloc[:, 1].str.contains('#') == False]
+
+# convert time stamps to
+df.iloc[:, 0] = df.iloc[:, 0].apply(time_stamp_to_sec)
+df.iloc[:, 1] = df.iloc[:, 1].apply(time_stamp_to_sec)
+
+# replace column 1 (end) with duration (end - start)
+df.iloc[:,1] = df.iloc[:,1] - df.iloc[:,0]
+
+# apply BIDS standard column names
+df.rename(columns=dict(start='onset', end='duration'), inplace=True)
+
+df.to_csv(
+    opj('researchcut', 'speech_vocalization.tsv'),
+    index=False,
+    sep='\t',
+    float_format='%.3f')

src/voice

@@ -0,0 +1 @@
+Subproject commit 82ae3a633d82d5c467dc7678b44df09f5283e4ef