stats update
Browse files- data/stats.json +1 -1
- test.png +0 -0
- test.py +21 -12
data/stats.json
CHANGED
@@ -1 +1 @@
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{"mean_pitch": 166.
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{"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]}
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test.png
CHANGED
test.py
CHANGED
@@ -44,12 +44,15 @@ mean_energys = []
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std_energys = []
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mean_durations = []
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std_durations = []
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for item in tqdm(dataloader):
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result = vocex.model(item["mel"], inference=True)
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pitch = result["measures"]["pitch"]
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energy = result["measures"]["energy"]
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va = result["measures"]["voice_activity_binary"]
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mean_pitch = pitch.mean()
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std_pitch = pitch.std()
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mean_energy = energy.mean()
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@@ -64,22 +67,28 @@ for item in tqdm(dataloader):
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std_energys.append(std_energy)
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mean_durations.append(mean_duration)
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std_durations.append(std_duration)
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mean_pitch = np.mean(mean_pitchs)
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std_pitch = np.mean(std_pitchs)
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mean_energy = np.mean(mean_energys)
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std_energy = np.mean(std_energys)
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mean_duration = np.mean(mean_durations)
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std_duration = np.mean(std_durations)
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# save the stats
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stats = {
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"mean_pitch":
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"std_pitch":
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"mean_energy":
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"std_energy":
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"mean_duration":
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"std_duration":
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}
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with open("data/stats.json", "w") as f:
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std_energys = []
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mean_durations = []
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std_durations = []
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mean_dvecs = []
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std_dvecs = []
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for item in tqdm(dataloader):
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result = vocex.model(item["mel"], inference=True)
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pitch = result["measures"]["pitch"]
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energy = result["measures"]["energy"]
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va = result["measures"]["voice_activity_binary"]
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dvec = result["dvector"]
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mean_pitch = pitch.mean()
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std_pitch = pitch.std()
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mean_energy = energy.mean()
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std_energys.append(std_energy)
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mean_durations.append(mean_duration)
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std_durations.append(std_duration)
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mean_dvecs.append(dvec.mean())
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std_dvecs.append(dvec.std())
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mean_pitch = [float(np.mean(mean_pitchs)), float(np.std(mean_pitchs))]
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std_pitch = [float(np.mean(std_pitchs)), float(np.std(std_pitchs))]
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mean_energy = [float(np.mean(mean_energys)), float(np.std(mean_energys))]
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std_energy = [float(np.mean(std_energys)), float(np.std(std_energys))]
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mean_duration = [float(np.mean(mean_durations)), float(np.std(mean_durations))]
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std_duration = [float(np.mean(std_durations)), float(np.std(std_durations))]
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mean_dvec = [float(np.mean(mean_dvecs)), float(np.std(mean_dvecs))]
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std_dvec = [float(np.mean(std_dvecs)), float(np.std(std_dvecs))]
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# save the stats
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stats = {
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"mean_pitch": mean_pitch,
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"std_pitch": std_pitch,
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"mean_energy": mean_energy,
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"std_energy": std_energy,
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"mean_duration": mean_duration,
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"std_duration": std_duration,
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"mean_dvec": mean_dvec,
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"std_dvec": std_dvec,
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}
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with open("data/stats.json", "w") as f:
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