Emotion classification of speech using GMMHMMs
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Emotion classification of speech using GMMHMMs
D:\s\openEMO-master\openEMO-master>python emotion.py
angry
Enter number of components in the GMMHMM: 32.0
Enter number of mixtures in the Gaussian Model: 32.0
fear
Enter number of components in the GMMHMM: 32.0
Enter number of mixtures in the Gaussian Model: 32.0
happy
Enter number of components in the GMMHMM: 32.0
Enter number of mixtures in the Gaussian Model: 32.0
sad
Enter number of components in the GMMHMM: 32.0
Enter number of mixtures in the Gaussian Model: 32.0
surprised
Enter number of components in the GMMHMM: 32.0
Enter number of mixtures in the Gaussian Model: 32.0
D:\Python27\lib\site-packages\sklearn\utils\validation.py:386: DeprecationWarnin
g: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0
.19. Reshape your data either using X.reshape(-1, 1) if your data has a single f
eature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
Traceback (most recent call last):
File "emotion.py", line 89, in
gmms = create_training_set()
File "emotion.py", line 84, in create_training_set
gmms = train_GMMs(emotions, trng_data, GMM_config, pickle_path=pickles + '/g
mmhmm.pkl')
File "emotion.py", line 60, in train_GMMs
emo_machines[emo].fit(trng_data[emo])
File "build\bdist.win32\egg\hmmlearn\base.py", line 420, in fit
File "D:\Python27\lib\site-packages\sklearn\utils\validation.py", line 393, in
check_array
array = array.astype(np.float64)
ValueError: setting an array element with a sequence.
A follow up issue to #1 to make code changes required for the emotion detection hmms to be trained using the latest release of hmmlearn (0.2.x) as opposed to 0.1.1
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