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ParkinsonFrontEnd/lib/RecognitionLib.py → lib/RecognitionLib.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,88 +1,88 @@ | ||
| import joblib | ||
| import parselmouth | ||
| from parselmouth.praat import call | ||
| import pandas as pd | ||
| import numpy as np | ||
| import sklearn | ||
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| def loadModel(PATH): | ||
| clf = joblib.load(PATH) | ||
| return clf | ||
|
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| def measurePitch(voiceID, f0min, f0max, unit): | ||
| sound = parselmouth.Sound(voiceID) # read the sound | ||
| pitch = call(sound, "To Pitch", 0.0, f0min, f0max) | ||
| pointProcess = call(sound, "To PointProcess (periodic, cc)", f0min, f0max)#create a praat pitch object | ||
| localJitter = call(pointProcess, "Get jitter (local)", 0, 0, 0.0001, 0.02, 1.3) | ||
| localabsoluteJitter = call(pointProcess, "Get jitter (local, absolute)", 0, 0, 0.0001, 0.02, 1.3) | ||
| rapJitter = call(pointProcess, "Get jitter (rap)", 0, 0, 0.0001, 0.02, 1.3) | ||
| ppq5Jitter = call(pointProcess, "Get jitter (ppq5)", 0, 0, 0.0001, 0.02, 1.3) | ||
| localShimmer = call([sound, pointProcess], "Get shimmer (local)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| localdbShimmer = call([sound, pointProcess], "Get shimmer (local_dB)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| apq3Shimmer = call([sound, pointProcess], "Get shimmer (apq3)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| aqpq5Shimmer = call([sound, pointProcess], "Get shimmer (apq5)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| apq11Shimmer = call([sound, pointProcess], "Get shimmer (apq11)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| harmonicity05 = call(sound, "To Harmonicity (cc)", 0.01, 500, 0.1, 1.0) | ||
| hnr05 = call(harmonicity05, "Get mean", 0, 0) | ||
| harmonicity15 = call(sound, "To Harmonicity (cc)", 0.01, 1500, 0.1, 1.0) | ||
| hnr15 = call(harmonicity15, "Get mean", 0, 0) | ||
| harmonicity25 = call(sound, "To Harmonicity (cc)", 0.01, 2500, 0.1, 1.0) | ||
| hnr25 = call(harmonicity25, "Get mean", 0, 0) | ||
| harmonicity35 = call(sound, "To Harmonicity (cc)", 0.01, 3500, 0.1, 1.0) | ||
| hnr35 = call(harmonicity35, "Get mean", 0, 0) | ||
| harmonicity38 = call(sound, "To Harmonicity (cc)", 0.01, 3800, 0.1, 1.0) | ||
| hnr38 = call(harmonicity38, "Get mean", 0, 0) | ||
| return localJitter, localabsoluteJitter, rapJitter, ppq5Jitter, localShimmer, localdbShimmer, apq3Shimmer, aqpq5Shimmer, apq11Shimmer, hnr05, hnr15 ,hnr25 ,hnr35 ,hnr38 | ||
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| def predict(clf, wavPath): | ||
| file_list = [] | ||
| localJitter_list = [] | ||
| localabsoluteJitter_list = [] | ||
| rapJitter_list = [] | ||
| ppq5Jitter_list = [] | ||
| localShimmer_list = [] | ||
| localdbShimmer_list = [] | ||
| apq3Shimmer_list = [] | ||
| aqpq5Shimmer_list = [] | ||
| apq11Shimmer_list = [] | ||
| hnr05_list = [] | ||
| hnr15_list = [] | ||
| hnr25_list = [] | ||
| hnr35_list = [] | ||
| hnr38_list = [] | ||
|
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| sound = parselmouth.Sound(wavPath) | ||
| (localJitter, localabsoluteJitter, rapJitter, ppq5Jitter, localShimmer, localdbShimmer, apq3Shimmer, aqpq5Shimmer, | ||
| apq11Shimmer, hnr05, hnr15, hnr25, hnr35, hnr38) = measurePitch(sound, 75, 1000, "Hertz") | ||
| localJitter_list.append(localJitter) # make a mean F0 list | ||
| localabsoluteJitter_list.append(localabsoluteJitter) # make a sd F0 list | ||
| rapJitter_list.append(rapJitter) | ||
| ppq5Jitter_list.append(ppq5Jitter) | ||
| localShimmer_list.append(localShimmer) | ||
| localdbShimmer_list.append(localdbShimmer) | ||
| apq3Shimmer_list.append(apq3Shimmer) | ||
| aqpq5Shimmer_list.append(aqpq5Shimmer) | ||
| apq11Shimmer_list.append(apq11Shimmer) | ||
| hnr05_list.append(hnr05) | ||
| hnr15_list.append(hnr15) | ||
| hnr25_list.append(hnr25) | ||
| hnr35_list.append(hnr35) | ||
| hnr38_list.append(hnr38) | ||
|
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| toPred = pd.DataFrame(np.column_stack( | ||
| [localJitter_list, localabsoluteJitter_list, rapJitter_list, ppq5Jitter_list, localShimmer_list, | ||
| localdbShimmer_list, apq3Shimmer_list, aqpq5Shimmer_list, apq11Shimmer_list, hnr05_list, hnr15_list, | ||
| hnr25_list]), | ||
| columns=["Jitter_rel", "Jitter_abs", "Jitter_RAP", "Jitter_PPQ", "Shim_loc", "Shim_dB", | ||
| "Shim_APQ3", "Shim_APQ5", "Shi_APQ11", "hnr05", "hnr15", | ||
| "hnr25"]) # add these lists to pandas in the right order | ||
|
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| resp = clf.predict(toPred) | ||
| resp = str(resp) | ||
|
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| if resp == "[1.]": | ||
| return True | ||
| else: | ||
| import joblib | ||
| import parselmouth | ||
| from parselmouth.praat import call | ||
| import pandas as pd | ||
| import numpy as np | ||
| import sklearn | ||
|
|
||
|
|
||
| def loadModel(PATH): | ||
| clf = joblib.load(PATH) | ||
| return clf | ||
|
|
||
| def measurePitch(voiceID, f0min, f0max, unit): | ||
| sound = parselmouth.Sound(voiceID) # read the sound | ||
| pitch = call(sound, "To Pitch", 0.0, f0min, f0max) | ||
| pointProcess = call(sound, "To PointProcess (periodic, cc)", f0min, f0max)#create a praat pitch object | ||
| localJitter = call(pointProcess, "Get jitter (local)", 0, 0, 0.0001, 0.02, 1.3) | ||
| localabsoluteJitter = call(pointProcess, "Get jitter (local, absolute)", 0, 0, 0.0001, 0.02, 1.3) | ||
| rapJitter = call(pointProcess, "Get jitter (rap)", 0, 0, 0.0001, 0.02, 1.3) | ||
| ppq5Jitter = call(pointProcess, "Get jitter (ppq5)", 0, 0, 0.0001, 0.02, 1.3) | ||
| localShimmer = call([sound, pointProcess], "Get shimmer (local)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| localdbShimmer = call([sound, pointProcess], "Get shimmer (local_dB)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| apq3Shimmer = call([sound, pointProcess], "Get shimmer (apq3)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| aqpq5Shimmer = call([sound, pointProcess], "Get shimmer (apq5)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| apq11Shimmer = call([sound, pointProcess], "Get shimmer (apq11)", 0, 0, 0.0001, 0.02, 1.3, 1.6) | ||
| harmonicity05 = call(sound, "To Harmonicity (cc)", 0.01, 500, 0.1, 1.0) | ||
| hnr05 = call(harmonicity05, "Get mean", 0, 0) | ||
| harmonicity15 = call(sound, "To Harmonicity (cc)", 0.01, 1500, 0.1, 1.0) | ||
| hnr15 = call(harmonicity15, "Get mean", 0, 0) | ||
| harmonicity25 = call(sound, "To Harmonicity (cc)", 0.01, 2500, 0.1, 1.0) | ||
| hnr25 = call(harmonicity25, "Get mean", 0, 0) | ||
| harmonicity35 = call(sound, "To Harmonicity (cc)", 0.01, 3500, 0.1, 1.0) | ||
| hnr35 = call(harmonicity35, "Get mean", 0, 0) | ||
| harmonicity38 = call(sound, "To Harmonicity (cc)", 0.01, 3800, 0.1, 1.0) | ||
| hnr38 = call(harmonicity38, "Get mean", 0, 0) | ||
| return localJitter, localabsoluteJitter, rapJitter, ppq5Jitter, localShimmer, localdbShimmer, apq3Shimmer, aqpq5Shimmer, apq11Shimmer, hnr05, hnr15 ,hnr25 ,hnr35 ,hnr38 | ||
|
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||
|
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| def predict(clf, wavPath): | ||
| file_list = [] | ||
| localJitter_list = [] | ||
| localabsoluteJitter_list = [] | ||
| rapJitter_list = [] | ||
| ppq5Jitter_list = [] | ||
| localShimmer_list = [] | ||
| localdbShimmer_list = [] | ||
| apq3Shimmer_list = [] | ||
| aqpq5Shimmer_list = [] | ||
| apq11Shimmer_list = [] | ||
| hnr05_list = [] | ||
| hnr15_list = [] | ||
| hnr25_list = [] | ||
| hnr35_list = [] | ||
| hnr38_list = [] | ||
|
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||
| sound = parselmouth.Sound(wavPath) | ||
| (localJitter, localabsoluteJitter, rapJitter, ppq5Jitter, localShimmer, localdbShimmer, apq3Shimmer, aqpq5Shimmer, | ||
| apq11Shimmer, hnr05, hnr15, hnr25, hnr35, hnr38) = measurePitch(sound, 75, 1000, "Hertz") | ||
| localJitter_list.append(localJitter) # make a mean F0 list | ||
| localabsoluteJitter_list.append(localabsoluteJitter) # make a sd F0 list | ||
| rapJitter_list.append(rapJitter) | ||
| ppq5Jitter_list.append(ppq5Jitter) | ||
| localShimmer_list.append(localShimmer) | ||
| localdbShimmer_list.append(localdbShimmer) | ||
| apq3Shimmer_list.append(apq3Shimmer) | ||
| aqpq5Shimmer_list.append(aqpq5Shimmer) | ||
| apq11Shimmer_list.append(apq11Shimmer) | ||
| hnr05_list.append(hnr05) | ||
| hnr15_list.append(hnr15) | ||
| hnr25_list.append(hnr25) | ||
| hnr35_list.append(hnr35) | ||
| hnr38_list.append(hnr38) | ||
|
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||
| toPred = pd.DataFrame(np.column_stack( | ||
| [localJitter_list, localabsoluteJitter_list, rapJitter_list, ppq5Jitter_list, localShimmer_list, | ||
| localdbShimmer_list, apq3Shimmer_list, aqpq5Shimmer_list, apq11Shimmer_list, hnr05_list, hnr15_list, | ||
| hnr25_list]), | ||
| columns=["Jitter_rel", "Jitter_abs", "Jitter_RAP", "Jitter_PPQ", "Shim_loc", "Shim_dB", | ||
| "Shim_APQ3", "Shim_APQ5", "Shi_APQ11", "hnr05", "hnr15", | ||
| "hnr25"]) # add these lists to pandas in the right order | ||
|
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| resp = clf.predict(toPred) | ||
| resp = str(resp) | ||
|
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| if resp == "[1.]": | ||
| return True | ||
| else: | ||
| return False |
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