2017-10-25 11:22:45 +00:00
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from speech_siamese import siamese_model
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2017-10-25 10:08:03 +00:00
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from record_mic_speech import record_spectrogram
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2017-10-25 11:22:45 +00:00
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from importlib import reload
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import speech_data
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reload(speech_data)
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from speech_data import create_test_pair,get_word_pairs_data
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import numpy as np
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2017-10-25 10:08:03 +00:00
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2017-10-25 11:22:45 +00:00
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sunflower_data,sunflower_result = get_word_pairs_data('sunflowers',15)
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sunflower_result
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model = siamese_model((15, 1654))
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model.load_weights('./models/siamese_speech_model-final.h5')
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spec1 = record_spectrogram(n_sec=1.4)
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spec2 = record_spectrogram(n_sec=1.4)
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inp = create_test_pair(spec1,spec2,16)
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model.predict([inp[:, 0], inp[:, 1]])
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model.predict([sunflower_data[:, 0], sunflower_data[:, 1]]) < 0.5
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