notebook.community

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In [1]:



    


%matplotlib inline



    











In [2]:



    


%run ~/git/cc/tools/dsp/notebooks/notebook_setup_dsp.py



    











In [3]:



    


from extractFeatures import *



    











In [4]:



    


cd /Users/billpierce/audio/



    


















    






/Users/billpierce/audio

















In [5]:



    


plt.rcParams['figure.figsize'] = (24.0, 16.0)



    











In [6]:



    


label_features_map = get_label_features_map('dataset3', upper_frequency=150, number_bins=12)



    











In [7]:



    


features_train, labels_train, features_test, labels_test = partition_dataset(label_features_map, train_fraction=0.8)



    


















    






Samples: 200, train: 160/160, test: 40/40

















In [8]:



    


plot_features_3d(features_train, labels_train)



    


















    
























In [9]:



    


plot_features_3d(features_test, labels_test)



    


















    
























In [10]:



    


from sklearn.tree import DecisionTreeClassifier
clf = DecisionTreeClassifier()
run_classifier(clf, features_train, labels_train, features_test, labels_test)



    


















    






Actual: gear_53_25, Predicted: ['gear_53_23']
Actual: gear_53_25, Predicted: ['gear_53_15']
Actual: gear_53_25, Predicted: ['gear_53_23']
Actual: gear_53_25, Predicted: ['gear_53_21']
Actual: gear_53_23, Predicted: ['gear_53_23']
Actual: gear_53_23, Predicted: ['gear_53_23']
Actual: gear_53_23, Predicted: ['gear_53_23']
Actual: gear_53_23, Predicted: ['gear_53_25']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_17, Predicted: ['gear_53_23']
Actual: gear_53_17, Predicted: ['gear_53_17']
Actual: gear_53_17, Predicted: ['gear_53_17']
Actual: gear_53_17, Predicted: ['gear_53_21']
Actual: gear_53_14, Predicted: ['gear_53_13']
Actual: gear_53_14, Predicted: ['gear_53_14']
Actual: gear_53_14, Predicted: ['gear_53_13']
Actual: gear_53_14, Predicted: ['gear_53_14']
Actual: gear_53_15, Predicted: ['gear_53_15']
Actual: gear_53_15, Predicted: ['gear_53_15']
Actual: gear_53_15, Predicted: ['gear_53_15']
Actual: gear_53_15, Predicted: ['gear_53_15']
Actual: gear_53_12, Predicted: ['gear_53_13']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_14']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_13, Predicted: ['gear_53_13']
Actual: gear_53_13, Predicted: ['gear_53_13']
Actual: gear_53_13, Predicted: ['gear_53_13']
Actual: gear_53_13, Predicted: ['gear_53_13']
Actual: gear_53_11, Predicted: ['gear_53_11']
Actual: gear_53_11, Predicted: ['gear_53_13']
Actual: gear_53_11, Predicted: ['gear_53_11']
Actual: gear_53_11, Predicted: ['gear_53_13']
Success rate: 0.675

















In [11]:



    


from sklearn import svm
clf = svm.SVC(kernel='linear')
run_classifier(clf, features_train, labels_train, features_test, labels_test)



    


















    






Actual: gear_53_25, Predicted: ['gear_53_19']
Actual: gear_53_25, Predicted: ['gear_53_11']
Actual: gear_53_25, Predicted: ['gear_53_19']
Actual: gear_53_25, Predicted: ['gear_53_19']
Actual: gear_53_23, Predicted: ['gear_53_19']
Actual: gear_53_23, Predicted: ['gear_53_19']
Actual: gear_53_23, Predicted: ['gear_53_19']
Actual: gear_53_23, Predicted: ['gear_53_19']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_17, Predicted: ['gear_53_19']
Actual: gear_53_17, Predicted: ['gear_53_19']
Actual: gear_53_17, Predicted: ['gear_53_19']
Actual: gear_53_17, Predicted: ['gear_53_21']
Actual: gear_53_14, Predicted: ['gear_53_11']
Actual: gear_53_14, Predicted: ['gear_53_12']
Actual: gear_53_14, Predicted: ['gear_53_12']
Actual: gear_53_14, Predicted: ['gear_53_12']
Actual: gear_53_15, Predicted: ['gear_53_11']
Actual: gear_53_15, Predicted: ['gear_53_12']
Actual: gear_53_15, Predicted: ['gear_53_11']
Actual: gear_53_15, Predicted: ['gear_53_15']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_13, Predicted: ['gear_53_12']
Actual: gear_53_13, Predicted: ['gear_53_12']
Actual: gear_53_13, Predicted: ['gear_53_12']
Actual: gear_53_13, Predicted: ['gear_53_12']
Actual: gear_53_11, Predicted: ['gear_53_12']
Actual: gear_53_11, Predicted: ['gear_53_11']
Actual: gear_53_11, Predicted: ['gear_53_11']
Actual: gear_53_11, Predicted: ['gear_53_12']
Success rate: 0.375

















In [12]:



    


from sklearn.neighbors import KNeighborsClassifier
knn = KNeighborsClassifier(n_neighbors=10)
run_classifier(knn, features_train, labels_train, features_test, labels_test)



    


















    






Actual: gear_53_25, Predicted: ['gear_53_25']
Actual: gear_53_25, Predicted: ['gear_53_13']
Actual: gear_53_25, Predicted: ['gear_53_19']
Actual: gear_53_25, Predicted: ['gear_53_19']
Actual: gear_53_23, Predicted: ['gear_53_23']
Actual: gear_53_23, Predicted: ['gear_53_25']
Actual: gear_53_23, Predicted: ['gear_53_17']
Actual: gear_53_23, Predicted: ['gear_53_23']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_17, Predicted: ['gear_53_19']
Actual: gear_53_17, Predicted: ['gear_53_17']
Actual: gear_53_17, Predicted: ['gear_53_23']
Actual: gear_53_17, Predicted: ['gear_53_21']
Actual: gear_53_14, Predicted: ['gear_53_13']
Actual: gear_53_14, Predicted: ['gear_53_14']
Actual: gear_53_14, Predicted: ['gear_53_13']
Actual: gear_53_14, Predicted: ['gear_53_14']
Actual: gear_53_15, Predicted: ['gear_53_15']
Actual: gear_53_15, Predicted: ['gear_53_14']
Actual: gear_53_15, Predicted: ['gear_53_14']
Actual: gear_53_15, Predicted: ['gear_53_15']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_13, Predicted: ['gear_53_13']
Actual: gear_53_13, Predicted: ['gear_53_13']
Actual: gear_53_13, Predicted: ['gear_53_14']
Actual: gear_53_13, Predicted: ['gear_53_12']
Actual: gear_53_11, Predicted: ['gear_53_12']
Actual: gear_53_11, Predicted: ['gear_53_11']
Actual: gear_53_11, Predicted: ['gear_53_11']
Actual: gear_53_11, Predicted: ['gear_53_14']
Success rate: 0.6

















In [13]:



    


from sklearn.neighbors.nearest_centroid import NearestCentroid
nc = NearestCentroid()
run_classifier(nc, features_train, labels_train, features_test, labels_test)



    


















    






Actual: gear_53_25, Predicted: ['gear_53_25']
Actual: gear_53_25, Predicted: ['gear_53_11']
Actual: gear_53_25, Predicted: ['gear_53_19']
Actual: gear_53_25, Predicted: ['gear_53_19']
Actual: gear_53_23, Predicted: ['gear_53_23']
Actual: gear_53_23, Predicted: ['gear_53_23']
Actual: gear_53_23, Predicted: ['gear_53_25']
Actual: gear_53_23, Predicted: ['gear_53_25']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_21, Predicted: ['gear_53_21']
Actual: gear_53_19, Predicted: ['gear_53_23']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_19, Predicted: ['gear_53_19']
Actual: gear_53_17, Predicted: ['gear_53_19']
Actual: gear_53_17, Predicted: ['gear_53_17']
Actual: gear_53_17, Predicted: ['gear_53_23']
Actual: gear_53_17, Predicted: ['gear_53_21']
Actual: gear_53_14, Predicted: ['gear_53_11']
Actual: gear_53_14, Predicted: ['gear_53_14']
Actual: gear_53_14, Predicted: ['gear_53_13']
Actual: gear_53_14, Predicted: ['gear_53_14']
Actual: gear_53_15, Predicted: ['gear_53_15']
Actual: gear_53_15, Predicted: ['gear_53_14']
Actual: gear_53_15, Predicted: ['gear_53_14']
Actual: gear_53_15, Predicted: ['gear_53_15']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_12, Predicted: ['gear_53_12']
Actual: gear_53_13, Predicted: ['gear_53_13']
Actual: gear_53_13, Predicted: ['gear_53_12']
Actual: gear_53_13, Predicted: ['gear_53_13']
Actual: gear_53_13, Predicted: ['gear_53_13']
Actual: gear_53_11, Predicted: ['gear_53_11']
Actual: gear_53_11, Predicted: ['gear_53_11']
Actual: gear_53_11, Predicted: ['gear_53_11']
Actual: gear_53_11, Predicted: ['gear_53_15']
Success rate: 0.625

















In [ ]:

Content source: williampierce/cc

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