cdminix commited on
Commit
f334f8a
1 Parent(s): 58ddaaa

stats update

Browse files
Files changed (3) hide show
  1. data/stats.json +1 -1
  2. test.png +0 -0
  3. test.py +21 -12
data/stats.json CHANGED
@@ -1 +1 @@
1
- {"mean_pitch": 166.3789520263672, "std_pitch": 28.15303611755371, "mean_energy": 0.12094783782958984, "std_energy": 0.09327217191457748, "mean_duration": 1.417296846080225, "std_duration": 0.902642275968069}
 
1
+ {"mean_pitch": [166.35569763183594, 50.2285041809082], "std_pitch": [28.150461196899414, 12.998950004577637], "mean_energy": [0.1212499812245369, 0.033803604543209076], "std_energy": [0.0933549553155899, 0.024853786453604698], "mean_duration": [1.417181324063708, 0.3717550478609409], "std_duration": [0.9026830676267007, 0.09262743799230512], "mean_dvec": [-0.003188301809132099, 0.0046525378711521626], "std_dvec": [0.05742684751749039, 0.0044458359479904175]}
test.png CHANGED
test.py CHANGED
@@ -44,12 +44,15 @@ mean_energys = []
44
  std_energys = []
45
  mean_durations = []
46
  std_durations = []
 
 
47
 
48
  for item in tqdm(dataloader):
49
  result = vocex.model(item["mel"], inference=True)
50
  pitch = result["measures"]["pitch"]
51
  energy = result["measures"]["energy"]
52
  va = result["measures"]["voice_activity_binary"]
 
53
  mean_pitch = pitch.mean()
54
  std_pitch = pitch.std()
55
  mean_energy = energy.mean()
@@ -64,22 +67,28 @@ for item in tqdm(dataloader):
64
  std_energys.append(std_energy)
65
  mean_durations.append(mean_duration)
66
  std_durations.append(std_duration)
 
 
67
 
68
- mean_pitch = np.mean(mean_pitchs)
69
- std_pitch = np.mean(std_pitchs)
70
- mean_energy = np.mean(mean_energys)
71
- std_energy = np.mean(std_energys)
72
- mean_duration = np.mean(mean_durations)
73
- std_duration = np.mean(std_durations)
 
 
74
 
75
  # save the stats
76
  stats = {
77
- "mean_pitch": float(mean_pitch),
78
- "std_pitch": float(std_pitch),
79
- "mean_energy": float(mean_energy),
80
- "std_energy": float(std_energy),
81
- "mean_duration": float(mean_duration),
82
- "std_duration": float(std_duration),
 
 
83
  }
84
 
85
  with open("data/stats.json", "w") as f:
 
44
  std_energys = []
45
  mean_durations = []
46
  std_durations = []
47
+ mean_dvecs = []
48
+ std_dvecs = []
49
 
50
  for item in tqdm(dataloader):
51
  result = vocex.model(item["mel"], inference=True)
52
  pitch = result["measures"]["pitch"]
53
  energy = result["measures"]["energy"]
54
  va = result["measures"]["voice_activity_binary"]
55
+ dvec = result["dvector"]
56
  mean_pitch = pitch.mean()
57
  std_pitch = pitch.std()
58
  mean_energy = energy.mean()
 
67
  std_energys.append(std_energy)
68
  mean_durations.append(mean_duration)
69
  std_durations.append(std_duration)
70
+ mean_dvecs.append(dvec.mean())
71
+ std_dvecs.append(dvec.std())
72
 
73
+ mean_pitch = [float(np.mean(mean_pitchs)), float(np.std(mean_pitchs))]
74
+ std_pitch = [float(np.mean(std_pitchs)), float(np.std(std_pitchs))]
75
+ mean_energy = [float(np.mean(mean_energys)), float(np.std(mean_energys))]
76
+ std_energy = [float(np.mean(std_energys)), float(np.std(std_energys))]
77
+ mean_duration = [float(np.mean(mean_durations)), float(np.std(mean_durations))]
78
+ std_duration = [float(np.mean(std_durations)), float(np.std(std_durations))]
79
+ mean_dvec = [float(np.mean(mean_dvecs)), float(np.std(mean_dvecs))]
80
+ std_dvec = [float(np.mean(std_dvecs)), float(np.std(std_dvecs))]
81
 
82
  # save the stats
83
  stats = {
84
+ "mean_pitch": mean_pitch,
85
+ "std_pitch": std_pitch,
86
+ "mean_energy": mean_energy,
87
+ "std_energy": std_energy,
88
+ "mean_duration": mean_duration,
89
+ "std_duration": std_duration,
90
+ "mean_dvec": mean_dvec,
91
+ "std_dvec": std_dvec,
92
  }
93
 
94
  with open("data/stats.json", "w") as f: