first scores

code/scores/stats.py

@@ -12,6 +12,7 @@ import numpy as np
 from os.path import join as opj
 from os.path import basename, exists, splitext
 import pandas as pd
+from pyannote.core import Annotation, Segment, Timeline
 import soundfile
 
 def extrude(self, removed, mode: str = 'intersection'):
@@ -27,39 +28,53 @@ def extrude(self, removed, mode: str = 'intersection'):
     
     return self.crop(truncating_support, mode=mode)
 
-def process_clip(am, clip):
+def process_clip(am, annotator, clip):
+    index, ann = clip
+    recording_filename, range_onset, range_offset, clip_path = index
+
     speakers = ['CHI', 'OCH', 'FEM', 'MAL']
     vtc_speakers = ['KCHI', 'CHI', 'FEM', 'MAL']
 
-    onset = clip['range_onset']
-    offset = clip['range_offset']
+    print('reading scores...')
 
-    rows = []
+    data = None
     for i, speaker in enumerate(vtc_speakers):
         signal, sr = librosa.load(
-            clip['clip_path'] + f'_{speaker}',
+            clip_path + f'/{speaker}.wav',
             sr = 16000,
             offset = 2,
-            duration = (offset-onset)/1000
+            duration = (range_offset-range_onset)/1000
         )
-        rows.append(signal)
+        print(pd.DataFrame(signal).describe())
+        if data is not None:
+            data = np.vstack((data, signal))
+        else:
+            data = signal
 
-    data = np.array(rows)
+    print('done.')
 
-    ann = pd.concat([intersection, intersection.assign(set = annotator)])
-    segments = am.get_segments(ann)
+    print(data.shape)
+    time_scale = data.shape[1]/(range_offset-range_onset)
+    print(time_scale)
 
+    segments = am.get_segments(ann)
+    if not len(segments):
+        return None
     segments = segments[segments['speaker_type'].isin(speakers)]
 
     vtc = {
         speaker: segments_to_annotation(segments[(segments['set'] == 'vtc') & (segments['speaker_type'] == speaker)], 'speaker_type').get_timeline()
         for speaker in speakers
     }
+    
+    print(vtc)
 
     truth = {
         speaker: segments_to_annotation(segments[(segments['set'] == annotator) & (segments['speaker_type'] == speaker)], 'speaker_type').get_timeline()
         for speaker in speakers
     }
+    
+    print(truth)
 
     stats = {}
     for i, speaker_A in enumerate(speakers):
@@ -71,9 +86,16 @@ def process_clip(am, clip):
             vtc[f'{speaker_A}_vocs_fp_{speaker_B}'] = vtc[f'{speaker_A}_vocs_fp'].crop(truth[speaker_B], mode = 'loose')
 
         s = []
-        for explained in vtc[f'{speaker_A}_vocs_explained']:  
+        for explained in vtc[speaker_A]:
             onset, offset = explained
-            s.append(np.mean(data[i, 16*onset:16*offset]))
+            onset -= range_onset
+            offset -= range_onset
+
+            print(speaker_A, onset, offset)
+            print(data[i, int(onset*time_scale):int(offset*time_scale)])
+            print(np.mean(data[i, int(onset*time_scale):int(offset*time_scale)]))
+            
+            s.append(np.mean(data[i, int(onset*time_scale):int(offset*time_scale)]))
 
         stats[f'{speaker_A}_vocs_explained'] = s
 
@@ -83,12 +105,18 @@ def process_clip(am, clip):
 
             for fp in vtc[f'{speaker_A}_vocs_fp_{speaker_B}']:  
                 onset, offset = fp
-                sA.append(np.mean(data[i, 16*onset:16*offset]))
-                sB.append(np.mean(data[j, 16*onset:16*offset]))
+                onset -= range_onset
+                offset -= range_onset
+
+                sA.append(np.mean(data[i, int(onset*time_scale):int(offset*time_scale)]))
+                sA.append(np.mean(data[j, int(onset*time_scale):int(offset*time_scale)]))
+
 
             stats[f'{speaker_A}_vocs_fp_{speaker_B}_false'] = sA
             stats[f'{speaker_A}_vocs_fp_{speaker_B}_true'] = sB
 
+    print(stats)
+
     return stats
     
 
@@ -104,13 +132,17 @@ def generate_stats(parameters):
     )
 
     intersection['clip_path'] = intersection.apply(
-        lambda f: opj('output/scores/', splitext(basename(clip['recording_filename']))[0], str(clip['range_onset']) + '_' + str(clip['range_offset'])),
+        lambda r: opj('output/scores/', splitext(basename(r['recording_filename']))[0] + '_' + str(r['range_onset']) + '_' + str(r['range_offset'])),
         axis = 1
     )
 
-    clips = intersection[intersection['set'] == 'vtc']
-    with mp.Pool(processes = 32) as mp:
-        stats = pool.map(partial(process_clip, am), clips)
+    with mp.Pool(processes = 4) as pool:
+        stats = [
+            process_clip(am, annotator, clip)
+            for clip in intersection.groupby([
+                'recording_filename', 'range_onset', 'range_offset', 'clip_path'
+            ])
+        ]
 
     return stats
     
@@ -118,3 +150,4 @@ if __name__ == '__main__':
     annotators = pd.read_csv('input/annotators.csv')
     annotators['path'] = annotators['corpus'].apply(lambda c: opj('input', c))
     stats = [generate_stats(annotator) for annotator in annotators.to_dict(orient = 'records')]
+

output/scores/e20190821_134438_013100_22350000_22410000/CHI.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/gQ/jv/MD5E-s178--de3bf74d994fb0a7b167969df9be6ed2.rttm/MD5E-s178--de3bf74d994fb0a7b167969df9be6ed2.rttm

output/scores/e20190821_134438_013100_22350000_22410000/CHI.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/4p/m9/MD5E-s36785--ca3371428db85cfaacb2596502f3a35d.wav/MD5E-s36785--ca3371428db85cfaacb2596502f3a35d.wav

output/scores/e20190821_134438_013100_22350000_22410000/FEM.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/55/4M/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.rttm/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.rttm

output/scores/e20190821_134438_013100_22350000_22410000/FEM.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/5g/0m/MD5E-s36785--44f8fb77e72ebb30dffceef6d1410157.wav/MD5E-s36785--44f8fb77e72ebb30dffceef6d1410157.wav

output/scores/e20190821_134438_013100_22350000_22410000/KCHI.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/wk/3F/MD5E-s90--024713405bde50faf44a02cf239a1e7f.rttm/MD5E-s90--024713405bde50faf44a02cf239a1e7f.rttm

output/scores/e20190821_134438_013100_22350000_22410000/KCHI.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/kx/91/MD5E-s36785--b26081b1dafe302bcf890f3f7c1d6577.wav/MD5E-s36785--b26081b1dafe302bcf890f3f7c1d6577.wav

output/scores/e20190821_134438_013100_22350000_22410000/MAL.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/55/4M/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.rttm/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.rttm

output/scores/e20190821_134438_013100_22350000_22410000/MAL.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/jp/K5/MD5E-s36785--ffdd2d55c55ae1749fd60535c1e95b77.wav/MD5E-s36785--ffdd2d55c55ae1749fd60535c1e95b77.wav

output/scores/e20190821_134438_013100_22350000_22410000/SPEECH.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/Z9/98/MD5E-s184--38940d267332f36344ef6a8f4d902978.rttm/MD5E-s184--38940d267332f36344ef6a8f4d902978.rttm

output/scores/e20190821_134438_013100_22350000_22410000/SPEECH.wav

@@ -0,0 +1 @@
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output/scores/e20190821_134438_013100_22350000_22410000/all.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/w1/W8/MD5E-s452--e60e0b08c5cac298e6835df4b013efaf.rttm/MD5E-s452--e60e0b08c5cac298e6835df4b013efaf.rttm

output/scores/e20190821_134438_013100_2250000_2310000/CHI.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/4q/3M/MD5E-s692--8b914ccb85299f22706b9b199bcfc166.rttm/MD5E-s692--8b914ccb85299f22706b9b199bcfc166.rttm

output/scores/e20190821_134438_013100_2250000_2310000/CHI.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/xg/zv/MD5E-s36785--c03455d729f5e2d17d89f5fb5ba5e628.wav/MD5E-s36785--c03455d729f5e2d17d89f5fb5ba5e628.wav

output/scores/e20190821_134438_013100_2250000_2310000/FEM.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/X5/M2/MD5E-s870--9244dd2b40d38b509ab3b1b9244b2267.rttm/MD5E-s870--9244dd2b40d38b509ab3b1b9244b2267.rttm

output/scores/e20190821_134438_013100_2250000_2310000/FEM.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/QK/Gm/MD5E-s36785--294185d06b5810f944b8d787cced394f.wav/MD5E-s36785--294185d06b5810f944b8d787cced394f.wav

output/scores/e20190821_134438_013100_2250000_2310000/KCHI.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/72/Kq/MD5E-s966--029c874c6063def04760cae4e266627e.rttm/MD5E-s966--029c874c6063def04760cae4e266627e.rttm

output/scores/e20190821_134438_013100_2250000_2310000/KCHI.wav

@@ -0,0 +1 @@
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output/scores/e20190821_134438_013100_2250000_2310000/MAL.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/pm/9k/MD5E-s87--a27ad52aa50c48fa31ff6cd2161e0478.rttm/MD5E-s87--a27ad52aa50c48fa31ff6cd2161e0478.rttm

output/scores/e20190821_134438_013100_2250000_2310000/MAL.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/kz/57/MD5E-s36785--c0c2b9e1aa7c396e32a64afc671375c3.wav/MD5E-s36785--c0c2b9e1aa7c396e32a64afc671375c3.wav

output/scores/e20190821_134438_013100_2250000_2310000/SPEECH.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/Wq/Vw/MD5E-s988--b63d6c0ca8b6442c413e38195aeb2b3c.rttm/MD5E-s988--b63d6c0ca8b6442c413e38195aeb2b3c.rttm

output/scores/e20190821_134438_013100_2250000_2310000/SPEECH.wav

@@ -0,0 +1 @@
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output/scores/e20190821_134438_013100_2250000_2310000/all.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/Fg/zp/MD5E-s3603--665382351de8226d063a9f8d90da6343.rttm/MD5E-s3603--665382351de8226d063a9f8d90da6343.rttm

output/scores/e20190821_134438_013100_25050000_25110000/CHI.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/F2/6v/MD5E-s178--755b565161108884e75cb4dd60cb5551.rttm/MD5E-s178--755b565161108884e75cb4dd60cb5551.rttm

output/scores/e20190821_134438_013100_25050000_25110000/CHI.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/Pj/jF/MD5E-s36785--d2ba5b20eaf3b9c9a003c3103b43f56c.wav/MD5E-s36785--d2ba5b20eaf3b9c9a003c3103b43f56c.wav

output/scores/e20190821_134438_013100_25050000_25110000/FEM.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/KV/kP/MD5E-s1242--4a4e9f54108161bb1695686011cd6dbf.rttm/MD5E-s1242--4a4e9f54108161bb1695686011cd6dbf.rttm

output/scores/e20190821_134438_013100_25050000_25110000/FEM.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/5k/f5/MD5E-s36785--fa989f73fb147217d0765bbae5d9e7d9.wav/MD5E-s36785--fa989f73fb147217d0765bbae5d9e7d9.wav

output/scores/e20190821_134438_013100_25050000_25110000/KCHI.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/qv/xk/MD5E-s360--61873181fb1413206afce558e28c90f5.rttm/MD5E-s360--61873181fb1413206afce558e28c90f5.rttm

output/scores/e20190821_134438_013100_25050000_25110000/KCHI.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/6Z/z8/MD5E-s36785--19dec7e9a62256bdfe3c7c7202602928.wav/MD5E-s36785--19dec7e9a62256bdfe3c7c7202602928.wav

output/scores/e20190821_134438_013100_25050000_25110000/MAL.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/74/Vj/MD5E-s1065--859dad2b3d5bf72ff62c462045af1e8f.rttm/MD5E-s1065--859dad2b3d5bf72ff62c462045af1e8f.rttm

output/scores/e20190821_134438_013100_25050000_25110000/MAL.wav

@@ -0,0 +1 @@
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output/scores/e20190821_134438_013100_25050000_25110000/SPEECH.rttm

@@ -0,0 +1 @@
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output/scores/e20190821_134438_013100_25050000_25110000/SPEECH.wav

@@ -0,0 +1 @@
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output/scores/e20190821_134438_013100_25050000_25110000/all.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/27/qg/MD5E-s3399--b7eb0825bf9b4f29a3a724492061c5c0.rttm/MD5E-s3399--b7eb0825bf9b4f29a3a724492061c5c0.rttm

output/scores/e20190821_134438_013100_32550000_32610000/CHI.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/55/4M/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.rttm/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.rttm

output/scores/e20190821_134438_013100_32550000_32610000/CHI.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/Qz/MW/MD5E-s36785--44ab084c615bb04516c521ea260ed9eb.wav/MD5E-s36785--44ab084c615bb04516c521ea260ed9eb.wav

output/scores/e20190821_134438_013100_32550000_32610000/FEM.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/03/4w/MD5E-s267--2154932783db5b15171db73de0665732.rttm/MD5E-s267--2154932783db5b15171db73de0665732.rttm

output/scores/e20190821_134438_013100_32550000_32610000/FEM.wav

@@ -0,0 +1 @@
+../../../.git/annex/objects/2j/q6/MD5E-s36785--70f2b7ca8c27038b6465312d4b126f6e.wav/MD5E-s36785--70f2b7ca8c27038b6465312d4b126f6e.wav

output/scores/e20190821_134438_013100_32550000_32610000/KCHI.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/1z/JQ/MD5E-s629--8f0809efbbe6092e7f99aad885cfe11b.rttm/MD5E-s629--8f0809efbbe6092e7f99aad885cfe11b.rttm

output/scores/e20190821_134438_013100_32550000_32610000/KCHI.wav

@@ -0,0 +1 @@
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output/scores/e20190821_134438_013100_32550000_32610000/MAL.rttm

@@ -0,0 +1 @@
+../../../.git/annex/objects/qM/5G/MD5E-s533--cd569d7930a45653b025eda2c0e682f8.rttm/MD5E-s533--cd569d7930a45653b025eda2c0e682f8.rttm

output/scores/e20190821_134438_013100_32550000_32610000/MAL.wav

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output/scores/e20190821_134438_013100_32550000_32610000/SPEECH.rttm

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output/scores/e20190821_134438_013100_32550000_32610000/SPEECH.wav

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output/scores/e20190821_134438_013100_32550000_32610000/all.rttm

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output/scores/e20190821_134438_013100_34650000_34710000/CHI.rttm

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output/scores/e20190821_134438_013100_34650000_34710000/CHI.wav

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output/scores/e20190821_134438_013100_34650000_34710000/FEM.rttm

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output/scores/e20190821_134438_013100_34650000_34710000/FEM.wav

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output/scores/e20190821_134438_013100_34650000_34710000/KCHI.rttm

@@ -0,0 +1 @@
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output/scores/e20190821_134438_013100_34650000_34710000/KCHI.wav

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output/scores/e20190821_134438_013100_34650000_34710000/MAL.rttm

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output/scores/e20190821_134438_013100_34650000_34710000/MAL.wav

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output/scores/e20190821_134438_013100_34650000_34710000/SPEECH.rttm

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